feat(ci): 新增发布与灰度部署脚本

- release.sh: 一键发布脚本（打tag + 生成changelog + 灰度部署）
- gray_deploy.sh: 灰度发布脚本（Nginx权重调整 + canary容器）
- rollback.sh: 灰度回滚脚本（切回稳定版本流量）

.env.production.example

@@ -5,7 +5,6 @@ APP_ENV=production
 ENVIRONMENT=production
 DEBUG=false
 USE_IN_MEMORY_DB=false
-LOG_LEVEL=WARNING
 
 # ==================== 数据库（必须修改）====================
 DATABASE_URL=postgresql://prod_user:CHANGE_THIS_PASSWORD@db-prod:5432/xiaoxia_prod

.gitea/workflows/ci-cd.yml

@@ -19,6 +19,10 @@ on:
 permissions:
   contents: read
 
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
 jobs:
   validate:
     name: Validate Code Quality And Tests
@@ -165,6 +169,10 @@ jobs:
 
     env:
       USE_IN_MEMORY_DB: "true"
+      OSS_ACCESS_KEY_ID: placeholder
+      OSS_ACCESS_KEY_SECRET: placeholder
+      OSS_BUCKET_NAME: xiaoxia-autocut
+      OSS_ENDPOINT: oss-cn-hangzhou.aliyuncs.com
 
     steps:
       - name: Checkout code
@@ -213,6 +221,32 @@ jobs:
                       tar.extract(member, '.')
           PY
 
+      - name: Install ffmpeg
+        shell: sh
+        run: |
+          set +e
+          if command -v ffmpeg > /dev/null 2>&1; then
+            echo "ffmpeg already installed: $(ffmpeg -version | head -1)"
+            exit 0
+          fi
+          if command -v apt-get > /dev/null 2>&1; then
+            apt-get update -qq && apt-get install -y -qq ffmpeg
+          elif command -v yum > /dev/null 2>&1; then
+            yum install -y -q epel-release 2>/dev/null
+            yum install -y -q ffmpeg 2>/dev/null
+            if [ $? -ne 0 ] && command -v dnf > /dev/null 2>&1; then
+              dnf install -y -q --nogpgcheck https://download1.rpmfusion.org/free/el/rpmfusion-free-release-$(rpm -E %rhel).noarch.rpm 2>/dev/null
+              dnf install -y -q ffmpeg 2>/dev/null
+            fi
+          elif command -v dnf > /dev/null 2>&1; then
+            dnf install -y -q ffmpeg 2>/dev/null
+          fi
+          if command -v ffmpeg > /dev/null 2>&1; then
+            echo "ffmpeg installed successfully: $(ffmpeg -version | head -1)"
+          else
+            echo "Warning: ffmpeg installation failed or not available, some tests may be skipped"
+          fi
+
       - name: Install dependencies
         shell: sh
         run: |
@@ -256,6 +290,10 @@ jobs:
     env:
       DATABASE_URL: postgresql+psycopg://postgres:postgres@127.0.0.1:5432/xiaoxia_saas
       USE_IN_MEMORY_DB: "false"
+      OSS_ACCESS_KEY_ID: placeholder
+      OSS_ACCESS_KEY_SECRET: placeholder
+      OSS_BUCKET_NAME: xiaoxia-autocut
+      OSS_ENDPOINT: oss-cn-hangzhou.aliyuncs.com
 
     steps:
       - name: Checkout code
@@ -321,6 +359,32 @@ jobs:
           python3 -m pip install -q -r requirements-dev.txt
           pytest --version
 
+      - name: Install ffmpeg
+        shell: sh
+        run: |
+          set +e
+          if command -v ffmpeg > /dev/null 2>&1; then
+            echo "ffmpeg already installed: $(ffmpeg -version | head -1)"
+            exit 0
+          fi
+          if command -v apt-get > /dev/null 2>&1; then
+            apt-get update -qq && apt-get install -y -qq ffmpeg
+          elif command -v yum > /dev/null 2>&1; then
+            yum install -y -q epel-release 2>/dev/null
+            yum install -y -q ffmpeg 2>/dev/null
+            if [ $? -ne 0 ] && command -v dnf > /dev/null 2>&1; then
+              dnf install -y -q --nogpgcheck https://download1.rpmfusion.org/free/el/rpmfusion-free-release-$(rpm -E %rhel).noarch.rpm 2>/dev/null
+              dnf install -y -q ffmpeg 2>/dev/null
+            fi
+          elif command -v dnf > /dev/null 2>&1; then
+            dnf install -y -q ffmpeg 2>/dev/null
+          fi
+          if command -v ffmpeg > /dev/null 2>&1; then
+            echo "ffmpeg installed successfully: $(ffmpeg -version | head -1)"
+          else
+            echo "Warning: ffmpeg installation failed or not available, some tests may be skipped"
+          fi
+
       - name: Start Redis
         shell: sh
         run: |
@@ -390,7 +454,7 @@ jobs:
         shell: sh
         run: |
           set -eu
-          pip install -q pytest-rerunfailures
+          python3 -m pip install -q pytest-rerunfailures
           PYTHONPATH="$PWD/apps/api:$PWD" python3 -m coverage run --append \
             --source=apps/api/app,packages \
             --omit="*/migrations/*,*/tests/*,*/test_*.py,*/site-packages/*" \

alembic/versions/038_add_error_info_and_retry_to_generation_tasks.py

@@ -0,0 +1,47 @@
+"""add error_info and retry fields to generation_tasks
+
+Revision ID: 038_error_retry
+Revises: 037_generation_logs
+Create Date: 2026-07-13 22:15:00.000000
+"""
+
+import sqlalchemy as sa
+from sqlalchemy.dialects.mysql import JSON as MySQLJSON
+
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision = "038_error_retry"
+down_revision = "037_generation_logs"
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    # error_info: 结构化错误信息（error_type, message, stack_trace, failed_at, stage等）
+    op.add_column(
+        "generation_tasks",
+        sa.Column("error_info", sa.JSON(), nullable=True),
+    )
+    # retry_count: 重试次数
+    op.add_column(
+        "generation_tasks",
+        sa.Column("retry_count", sa.Integer(), nullable=False, server_default="0"),
+    )
+    # auto_retry_enabled: 是否开启自动重试
+    op.add_column(
+        "generation_tasks",
+        sa.Column("auto_retry_enabled", sa.Boolean(), nullable=False, server_default=sa.text("false")),
+    )
+    # auto_retry_max: 最大自动重试次数
+    op.add_column(
+        "generation_tasks",
+        sa.Column("auto_retry_max", sa.Integer(), nullable=False, server_default="0"),
+    )
+
+
+def downgrade():
+    op.drop_column("generation_tasks", "auto_retry_max")
+    op.drop_column("generation_tasks", "auto_retry_enabled")
+    op.drop_column("generation_tasks", "retry_count")
+    op.drop_column("generation_tasks", "error_info")

alembic/versions/039_add_transition_duration.py

@@ -0,0 +1,34 @@
+"""add transition_duration to edit_plan_clips
+
+Revision ID: 039_transition_duration
+Revises: 038_error_retry
+Create Date: 2026-07-14 09:00:00.000000
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision = "039_transition_duration"
+down_revision = "038_error_retry"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.add_column(
+        "edit_plan_clips",
+        sa.Column(
+            "transition_duration",
+            sa.Float(),
+            nullable=False,
+            server_default="0.0",
+        ),
+    )
+
+
+def downgrade() -> None:
+    op.drop_column("edit_plan_clips", "transition_duration")

alembic/versions/040_add_playback_speed_to_edit_plan_clips.py

@@ -0,0 +1,29 @@
+"""add playback_speed to edit_plan_clips
+
+Revision ID: 040_playback_speed
+Revises: 039_transition_duration
+Create Date: 2026-07-14 10:00:00.000000
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision = "040_playback_speed"
+down_revision = "039_transition_duration"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.add_column(
+        "edit_plan_clips",
+        sa.Column("playback_speed", sa.Float(), nullable=False, server_default="1.0"),
+    )
+
+
+def downgrade() -> None:
+    op.drop_column("edit_plan_clips", "playback_speed")

apps/api/app/api/router.py

@@ -19,6 +19,7 @@ from app.api.routes.templates import router as templates_router
 from app.api.routes.titles import router as titles_router
 from app.api.routes.tts import router as tts_router
 from app.api.routes.upload import router as upload_router
+from app.api.routes.videos import router as videos_router
 from app.api.routes.voice_clones import router as voice_clones_router
 from app.api.routes.voices import router as voices_router
 from fastapi import APIRouter
@@ -99,6 +100,10 @@ api_router.include_router(
     prefix="/voice-clones",
     tags=["VoiceClone"],
 )
+api_router.include_router(
+    videos_router,
+    tags=["VideoCenter"],
+)
 api_router.include_router(
     duplication_router,
     prefix="/duplication",

apps/api/app/api/routes/asset_libraries.py

@@ -12,7 +12,7 @@ from app.schemas.asset_library import (
     EnsureDefaultLibraryRequest,
     ListAssetLibrariesResponse,
 )
-from fastapi import APIRouter, Depends, HTTPException, Query, status
+from fastapi import APIRouter, Depends, HTTPException, Query, Response, status
 
 from packages.application import (
     CreateAssetLibraryCommand,
@@ -146,7 +146,7 @@ def ensure_default_library(
     return _to_asset_library_response(created)
 
 
-@router.delete("/{library_id}", status_code=status.HTTP_204_NO_CONTENT)
+@router.delete("/{library_id}", status_code=status.HTTP_204_NO_CONTENT, response_class=Response)
 def delete_asset_library(
     library_id: str,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
@@ -163,11 +163,10 @@ def delete_asset_library(
     # 权限校验：检查用户是否有项目访问权限
     check_project_access(library.project_id, authenticated_user.user.id, project_repository)
 
-    # 删除库内所有素材（无 FK 级联，需手动清理）
+    # 删除库内所有素材（硬删除，素材库已删除，无需保留软删除状态）
     assets_in_library = asset_repository.find_by_library(library_id)
-    if assets_in_library:
-        asset_ids_to_delete = [a.id for a in assets_in_library]
-        asset_repository.batch_delete(asset_ids_to_delete)
+    for asset in assets_in_library:
+        asset_repository.delete(asset.id)
 
     # 删除素材库本身
     asset_library_repository.delete(library_id)

apps/api/app/api/routes/assets.py

@@ -1,6 +1,7 @@
 import logging
 from typing import Any, Optional
 
+from app.api.routes._helpers import check_project_access
 from app.auth import AuthenticatedUser, get_current_user
 from app.core.storage import get_storage_service
 from app.dependencies import (
@@ -11,15 +12,18 @@ from app.dependencies import (
 )
 from app.schemas.asset import (
     AssetResponse,
+    BatchClassifyRequest,
     BatchDeleteRequest,
-    BatchDeleteResponse,
+    BatchMarkRequest,
+    BatchOperationResponse,
+    BatchTagRequest,
     CreateAssetRequest,
     ListAssetsResponse,
     UpdateAssetRequest,
     UpdateAssetReviewRequest,
 )
 from app.schemas.tag import TagAssetsRequest
-from fastapi import APIRouter, Depends, HTTPException, Query
+from fastapi import APIRouter, Depends, HTTPException, Query, Response
 
 from packages.application import (
     CreateAssetCommand,
@@ -27,8 +31,6 @@ from packages.application import (
 )
 from packages.domain import AssetStatus, ClassificationStatus
 
-from app.api.routes._helpers import check_project_access
-
 logger = logging.getLogger(__name__)
 
 router = APIRouter()
@@ -74,7 +76,6 @@ def _to_asset_response(item, storage_service=None) -> AssetResponse:
     )
 
 
-
 @router.get("", response_model=ListAssetsResponse)
 def list_assets(
     library_id: Optional[str] = Query(None),
@@ -84,6 +85,15 @@ def list_assets(
     gender: Optional[str] = Query(None, description="按 metadata.gender 筛选"),
     style: Optional[str] = Query(None, description="按 metadata.style 筛选"),
     tag_ids: Optional[str] = Query(None, description="按标签 ID 筛选（逗号分隔，取交集）"),
+    smart_view: Optional[str] = Query(
+        None,
+        description="智能视图筛选：recommended=推荐(质量分≥80)、cautious=慎用(60-79)、risky=高风险(<60或已驳回)、unused=未使用、used=已使用、pending_review=待复核",
+        pattern="^(recommended|cautious|risky|unused|used|pending_review)$",
+    ),
+    classification: Optional[str] = Query(
+        None,
+        description="按内容分类筛选：scenic=风景、product=产品、person=人物、animal=动物、food=美食、tech=科技、sport=运动、music=音乐、other=其他",
+    ),
     skip: int = Query(0, ge=0),
     limit: int = Query(100, ge=1, le=500),
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
@@ -103,11 +113,11 @@ def list_assets(
         if not filter_tag_ids:
             filter_tag_ids = None
 
-    # 需要内存过滤的标志（keyword/gender/style/tag_ids 无法在 DB 层过滤）
-    needs_memory_filter = bool(keyword or gender or style or filter_tag_ids)
+    # 需要内存过滤的标志（keyword/gender/style/tag_ids/smart_view/classification 无法在 DB 层过滤）
+    needs_memory_filter = bool(keyword or gender or style or filter_tag_ids or smart_view or classification)
 
     def _apply_memory_filters(items):
-        """应用 keyword / gender / style / tag_ids 内存过滤。"""
+        """应用 keyword / gender / style / tag_ids / smart_view / classification 内存过滤。"""
         result = items
         if keyword:
             kw = keyword.lower()
@@ -116,9 +126,38 @@ def list_assets(
             result = [i for i in result if (i.metadata or {}).get("gender") == gender]
         if style:
             result = [i for i in result if (i.metadata or {}).get("style") == style]
+        if classification:
+            result = [i for i in result if (i.metadata or {}).get("classification") == classification]
         if filter_tag_ids:
             tag_set = set(filter_tag_ids)
             result = [i for i in result if tag_set.issubset(set(getattr(i, "tag_ids", [])))]
+        if smart_view:
+
+            def __meta(a):
+                return a.metadata or {}
+
+            def __use_count(a):
+                return int(__meta(a).get("generation_use_count") or 0)
+
+            def __review_status(a):
+                return __meta(a).get("review_status", "")
+
+            if smart_view == "recommended":
+                result = [i for i in result if i.quality_score is not None and i.quality_score >= 80]
+            elif smart_view == "cautious":
+                result = [i for i in result if i.quality_score is not None and 60 <= i.quality_score < 80]
+            elif smart_view == "risky":
+                result = [
+                    i
+                    for i in result
+                    if (i.quality_score is not None and i.quality_score < 60) or __review_status(i) == "rejected"
+                ]
+            elif smart_view == "unused":
+                result = [i for i in result if __use_count(i) == 0]
+            elif smart_view == "used":
+                result = [i for i in result if __use_count(i) > 0]
+            elif smart_view == "pending_review":
+                result = [i for i in result if __review_status(i) == "pending_review"]
         return result
 
     # ── 优化路径：无内存过滤时，使用 DB 级分页 ──
@@ -262,33 +301,157 @@ def update_asset_review_status(
     return _to_asset_response(updated)
 
 
-@router.post("/batch-delete", response_model=BatchDeleteResponse)
+@router.post("/batch-delete", response_model=BatchOperationResponse)
 def batch_delete_assets(
     request: BatchDeleteRequest,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
     asset_repository: Any = Depends(get_asset_repository),
     project_repository: Any = Depends(get_project_repository),
-) -> BatchDeleteResponse:
-    """批量删除素材（配音素材等），需逐项校验项目权限。"""
+) -> BatchOperationResponse:
+    """批量删除素材（软删除，标记 status=deleted），需逐项校验项目权限。"""
     user_id = authenticated_user.user.id
-    deleted_ids: list[str] = []
-    failed_ids: list[str] = []
+    success_ids: list[str] = []
+    failed_details: dict[str, str] = {}
 
-    for asset_id in request.ids:
+    for asset_id in request.asset_ids:
         item = asset_repository.find_by_id(asset_id)
         if item is None:
-            failed_ids.append(asset_id)
+            failed_details[asset_id] = "not_found"
             continue
         try:
             check_project_access(item.project_id, user_id, project_repository)
-            deleted_ids.append(asset_id)
+            success_ids.append(asset_id)
         except HTTPException:
-            failed_ids.append(asset_id)
+            failed_details[asset_id] = "access_denied"
 
-    if deleted_ids:
-        asset_repository.batch_delete(deleted_ids)
+    if success_ids:
+        asset_repository.batch_delete(success_ids)
 
-    return BatchDeleteResponse(deleted_count=len(deleted_ids), failed_ids=failed_ids)
+    return BatchOperationResponse(
+        success_count=len(success_ids),
+        failed_ids=list(failed_details.keys()),
+        failed_details=failed_details,
+    )
+
+
+@router.post("/batch-tag", response_model=BatchOperationResponse)
+def batch_tag_assets(
+    request: BatchTagRequest,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    asset_repository: Any = Depends(get_asset_repository),
+    project_repository: Any = Depends(get_project_repository),
+    tag_repository: Any = Depends(get_tag_repository),
+) -> BatchOperationResponse:
+    """批量打标签（添加或替换模式），需逐项校验项目权限和标签权限。"""
+    user_id = authenticated_user.user.id
+    success_ids: list[str] = []
+    failed_details: dict[str, str] = {}
+
+    # 校验标签存在且属于当前用户
+    for tag_id in request.tag_ids:
+        tag = tag_repository.get(tag_id)
+        if tag is None:
+            return BatchOperationResponse(
+                success_count=0,
+                failed_ids=list(request.asset_ids),
+                failed_details={aid: f"tag_not_found:{tag_id}" for aid in request.asset_ids},
+            )
+        if tag.user_id != user_id:
+            return BatchOperationResponse(
+                success_count=0,
+                failed_ids=list(request.asset_ids),
+                failed_details={aid: f"tag_access_denied:{tag_id}" for aid in request.asset_ids},
+            )
+
+    # 校验素材权限
+    for asset_id in request.asset_ids:
+        item = asset_repository.find_by_id(asset_id)
+        if item is None:
+            failed_details[asset_id] = "not_found"
+            continue
+        try:
+            check_project_access(item.project_id, user_id, project_repository)
+            success_ids.append(asset_id)
+        except HTTPException:
+            failed_details[asset_id] = "access_denied"
+
+    if success_ids:
+        if request.mode == "replace":
+            asset_repository.batch_replace_tags(success_ids, request.tag_ids)
+        else:
+            asset_repository.batch_add_tags(success_ids, request.tag_ids)
+
+    return BatchOperationResponse(
+        success_count=len(success_ids),
+        failed_ids=list(failed_details.keys()),
+        failed_details=failed_details,
+    )
+
+
+@router.post("/batch-classify", response_model=BatchOperationResponse)
+def batch_classify_assets(
+    request: BatchClassifyRequest,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    asset_repository: Any = Depends(get_asset_repository),
+    project_repository: Any = Depends(get_project_repository),
+) -> BatchOperationResponse:
+    """批量修改素材内容分类（person/scenic/product等），存在metadata.category中。"""
+    user_id = authenticated_user.user.id
+    success_ids: list[str] = []
+    failed_details: dict[str, str] = {}
+
+    for asset_id in request.asset_ids:
+        item = asset_repository.find_by_id(asset_id)
+        if item is None:
+            failed_details[asset_id] = "not_found"
+            continue
+        try:
+            check_project_access(item.project_id, user_id, project_repository)
+            success_ids.append(asset_id)
+        except HTTPException:
+            failed_details[asset_id] = "access_denied"
+
+    if success_ids:
+        asset_repository.batch_update_metadata(success_ids, {"category": request.category})
+
+    return BatchOperationResponse(
+        success_count=len(success_ids),
+        failed_ids=list(failed_details.keys()),
+        failed_details=failed_details,
+    )
+
+
+@router.post("/batch-mark", response_model=BatchOperationResponse)
+def batch_mark_assets(
+    request: BatchMarkRequest,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    asset_repository: Any = Depends(get_asset_repository),
+    project_repository: Any = Depends(get_project_repository),
+) -> BatchOperationResponse:
+    """批量设置智能视图标记（recommended/caution/high_risk），存在metadata.smart_view中。"""
+    user_id = authenticated_user.user.id
+    success_ids: list[str] = []
+    failed_details: dict[str, str] = {}
+
+    for asset_id in request.asset_ids:
+        item = asset_repository.find_by_id(asset_id)
+        if item is None:
+            failed_details[asset_id] = "not_found"
+            continue
+        try:
+            check_project_access(item.project_id, user_id, project_repository)
+            success_ids.append(asset_id)
+        except HTTPException:
+            failed_details[asset_id] = "access_denied"
+
+    if success_ids:
+        asset_repository.batch_update_metadata(success_ids, {"smart_view": request.smart_view})
+
+    return BatchOperationResponse(
+        success_count=len(success_ids),
+        failed_ids=list(failed_details.keys()),
+        failed_details=failed_details,
+    )
 
 
 @router.get("/{asset_id}", response_model=AssetResponse)
@@ -330,7 +493,7 @@ def update_asset(
     return _to_asset_response(updated)
 
 
-@router.delete("/{asset_id}", status_code=204)
+@router.delete("/{asset_id}", status_code=204, response_class=Response)
 def delete_asset(
     asset_id: str,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
@@ -369,7 +532,7 @@ def tag_asset(
     return _to_asset_response(updated)
 
 
-@router.delete("/{asset_id}/tags/{tag_id}", status_code=204)
+@router.delete("/{asset_id}/tags/{tag_id}", status_code=204, response_class=Response)
 def untag_asset(
     asset_id: str,
     tag_id: str,

apps/api/app/api/routes/auth.py

@@ -105,7 +105,7 @@ async def register(
     request: RegisterRequest,
     user_repository: UserRepository = Depends(get_user_repository),
     email_service=Depends(get_auth_email_service),
-):
+) -> RegisterResponse:
     use_case = RegisterUserUseCase(
         user_repository=user_repository,
         base_url=settings.APP_BASE_URL,
@@ -136,7 +136,7 @@ async def login(
     request: LoginRequest,
     user_repository: UserRepository = Depends(get_user_repository),
     session_store=Depends(get_auth_session_store),
-):
+) -> LoginResponse:
     use_case = LoginUseCase(
         user_repository=user_repository,
         session_store=session_store,
@@ -162,7 +162,7 @@ async def refresh(
     request: RefreshRequest,
     user_repository: UserRepository = Depends(get_user_repository),
     session_store=Depends(get_auth_session_store),
-):
+) -> LoginResponse:
     use_case = RefreshTokenUseCase(
         user_repository=user_repository,
         session_store=session_store,
@@ -194,7 +194,7 @@ def _verify_email_token(token: str, user_repository: UserRepository) -> MessageR
 async def verify_email(
     token: str,
     user_repository: UserRepository = Depends(get_user_repository),
-):
+) -> MessageResponse:
     return _verify_email_token(token, user_repository)
 
 
@@ -202,7 +202,7 @@ async def verify_email(
 async def verify_email_post(
     request: VerifyEmailRequestModel,
     user_repository: UserRepository = Depends(get_user_repository),
-):
+) -> MessageResponse:
     return _verify_email_token(request.token, user_repository)
 
 
@@ -211,7 +211,7 @@ async def forgot_password(
     request: PasswordResetRequestModel,
     user_repository: UserRepository = Depends(get_user_repository),
     email_service=Depends(get_auth_email_service),
-):
+) -> MessageResponse:
     success, error = RequestPasswordResetUseCase(
         user_repository=user_repository,
         base_url=settings.APP_BASE_URL,
@@ -227,7 +227,7 @@ async def forgot_password(
 async def reset_password(
     request: ResetPasswordModel,
     user_repository: UserRepository = Depends(get_user_repository),
-):
+) -> MessageResponse:
     success, error = ResetPasswordUseCase(user_repository=user_repository).execute(
         ResetPasswordRequest(token=request.token, new_password=request.new_password)
     )
@@ -241,7 +241,7 @@ async def reset_password(
 async def logout(
     credentials: HTTPAuthorizationCredentials | None = Depends(bearer_scheme),
     current_user: AuthenticatedUser = Depends(get_current_user),
-):
+) -> MessageResponse:
     """登出 - 将当前 token 加入黑名单"""
 
     if credentials:
@@ -257,7 +257,7 @@ async def logout(
 @router.get("/me", response_model=CurrentUserResponse)
 async def get_current_user_info(
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
-):
+) -> CurrentUserResponse:
     user = authenticated_user.user
     return CurrentUserResponse(
         user_id=user.id,
@@ -323,7 +323,7 @@ def _get_internal_api_keys() -> list[str]:
             if content:
                 return [k.strip() for k in content.split(",") if k.strip()]
     except Exception:
-        logger.debug("Failed to read internal API keys from file", exc_info=True)
+        logger.warning("无法读取内部 API 密钥文件，仅依赖环境变量配置", exc_info=True)
 
     return []
 
@@ -354,7 +354,7 @@ async def wechat_sync(
     request: WechatSyncRequest,
     user_repository: UserRepository = Depends(get_user_repository),
     _: bool = Depends(_verify_internal_api_key),
-):
+) -> WechatSyncResponse:
     """
     微信同步登录/注册（系统级内部接口）
 

apps/api/app/api/routes/chunked_upload.py

@@ -13,6 +13,7 @@ from pathlib import Path
 from typing import Any
 from uuid import uuid4
 
+from app.api.routes._helpers import require_project_and_library
 from app.auth import AuthenticatedUser, get_current_user
 from app.core.celery_app import celery_app
 from app.core.storage import OSSStorageService, get_storage_service
@@ -34,8 +35,6 @@ from fastapi.params import File
 
 from packages.application import GetProjectUseCase, SubmitIngestJobCommand, SubmitIngestJobUseCase
 
-from app.api.routes._helpers import require_project_and_library
-
 router = APIRouter()
 logger = logging.getLogger(__name__)
 

apps/api/app/api/routes/duplication.py

@@ -239,7 +239,7 @@ def get_duplication_detail(
     return _to_detail_response(record)
 
 
-@router.delete("/records/{record_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None)
+@router.delete("/records/{record_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None, response_class=Response)
 def delete_duplication_record(
     record_id: str,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
@@ -257,7 +257,7 @@ def delete_duplication_record(
 
     use_case = DeleteDuplicationRecordUseCase(duplication_repository)
     use_case.execute(record_id)
-    return Response(status_code=204)
+    return
 
 
 @router.post("/records/{record_id}/retry", response_model=DuplicationUploadResponse)

apps/api/app/api/routes/edit_plans.py

@@ -6,12 +6,11 @@ RESTful CRUD for EditPlan:
 - POST   /api/v1/edit-plans            创建
 - PUT    /api/v1/edit-plans/{id}       更新（含状态机流转）
 - DELETE /api/v1/edit-plans/{id}       删除
-- POST   /api/v1/edit-plans/{id}/generate          触发剪辑渲染生成（任务 2.05）
-- GET    /api/v1/edit-plans/{id}/generation-status  查询生成进度（任务 2.05）
-- POST   /api/v1/edit-plans/{id}/ai-recommend       AI 推荐片段方案（任务 3.09）
-- POST   /api/v1/edit-plans/{id}/generate-cover     AI 生成封面（任务 3.09）
-- GET    /api/v1/edit-plans/{id}/timeline           时间线场景数据
-- POST   /api/v1/edit-plans/generate-from-template  基于模板+素材自动生成剪辑计划
+
+拆分模块（各自独立 router，由本文件 include_router 聚合）:
+- edit_plans_generation.py   生成相关（generate / generation-status / generations）
+- edit_plans_ai.py           AI 推荐 & 封面（ai-recommend / generate-cover）
+- edit_plans_timeline.py     时间线 & 模板生成（timeline / generate-from-template）
 
 业务逻辑委托给 EditPlanService 服务层。
 """
@@ -23,33 +22,18 @@ from datetime import datetime
 from typing import Any, List, Optional
 
 from app.auth import AuthenticatedUser, get_current_user
-from app.core.celery_app import celery_app
-from app.core.task_enqueue import GLOBAL_PENDING_LIMIT, USER_PENDING_LIMIT
-from app.dependencies import get_asset_library_repository, get_asset_repository, get_db_session, get_project_repository
+from app.dependencies import get_db_session, get_project_repository
 from app.schemas.generation_task import GenerationTaskResponse
-from app.services import EditPlanService, PlanGeneratorService
-from fastapi import APIRouter, Depends, HTTPException, Query, status
+from app.services import EditPlanService
+from fastapi import APIRouter, Depends, HTTPException, Query, Response, status
 from pydantic import BaseModel, Field
 from sqlalchemy.orm import Session
 
-from packages.adapters.sqlalchemy_impl.generation_task_repository import (
-    SQLAlchemyGenerationTaskRepository,
-)
-from packages.adapters.sqlalchemy_impl.template_clip_config_repository import (
-    SQLAlchemyTemplateClipConfigRepository,
-)
-from packages.adapters.sqlalchemy_impl.template_repository import (
-    SQLAlchemyTemplateRepository,
-)
-from packages.application.generation_tasks import (
-    CreateGenerationTaskCommand,
-    CreateGenerationTaskUseCase,
-)
-
-from ._helpers import check_project_access
 from packages.domain.config_schemas import normalize_plan_config
 from packages.domain.edit_plan import EditPlan, EditPlanStatus
 
+from ._helpers import check_project_access
+
 logger = logging.getLogger(__name__)
 
 router = APIRouter()
@@ -162,6 +146,7 @@ class AIRecommendClipItem(BaseModel):
     text_content: str = Field(default="", description="文字内容")
     duration: float = Field(..., ge=0.0, description="片段时长（秒）")
     transition_effect: str = Field(default="cut", description="转场效果")
+    transition_duration: float = Field(default=0.0, ge=0.0, description="转场时长（秒），0 表示使用默认值")
     asset_id: str = Field(default="", description="关联素材 ID")
     start_time: float = Field(default=0.0, ge=0.0, description="素材截取起始时间（秒）")
     config: dict[str, Any] = Field(default_factory=dict, description="片段额外配置")
@@ -225,6 +210,8 @@ class _PlanClipItem(BaseModel):
     start_time: float
     duration: float
     transition_effect: str
+    transition_duration: float
+    playback_speed: float = 1.0
     status: str
     config: Optional[dict[str, Any]] = None
     created_at: datetime
@@ -258,7 +245,7 @@ def _to_response(p: EditPlan) -> EditPlanResponse:
     )
 
 
-# ── Routes ────────────────────────────────────────────────────────────────────
+# ── CRUD Routes ───────────────────────────────────────────────────────────────
 
 
 @router.get("", response_model=EditPlanListResponse)
@@ -438,7 +425,7 @@ def update_plan(
     return _to_response(result)
 
 
-@router.delete("/{plan_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None)
+@router.delete("/{plan_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None, response_class=Response)
 def delete_plan(
     plan_id: str,
     db: Session = Depends(get_db_session),
@@ -464,753 +451,12 @@ def delete_plan(
     )
 
 
-# ── 生成相关端点（任务 2.05） ─────────────────────────────────────────────────
+# ── Include sub-routers (拆分模块) ────────────────────────────────────────────
 
+from .edit_plans_ai import router as ai_router
+from .edit_plans_generation import router as generation_router
+from .edit_plans_timeline import router as timeline_router
 
-@router.post("/{plan_id}/generate", response_model=EditPlanGenerateResponse)
-def generate_plan(
-    plan_id: str,
-    db: Session = Depends(get_db_session),
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    project_repository: Any = Depends(get_project_repository),
-    asset_library_repo: Any = Depends(get_asset_library_repository),
-    asset_repo: Any = Depends(get_asset_repository),
-) -> EditPlanGenerateResponse:
-    """触发剪辑计划渲染生成
-
-    前置条件：计划状态必须为 editing，且至少有一个片段。
-    流程：
-    1. 验证计划状态为 editing
-    2. 将 pending 片段标记为 ready
-    3. 创建 GenerationTask
-    4. 调度 Celery 任务 worker.render_edit_plan
-    5. 将计划状态流转为 rendering
-    """
-    svc = EditPlanService(db)
-    # 项目鉴权
-    plan_check = svc.get_plan(plan_id)
-    if plan_check is None:
-        raise HTTPException(status_code=404, detail=f"剪辑计划不存在: {plan_id}")
-    if plan_check.project_id:
-        check_project_access(plan_check.project_id, current_user.user.id, project_repository)
-
-    # ── 自动兜底 1: draft → editing ──────────────────────────────────────
-    if plan_check.status == EditPlanStatus.DRAFT:
-        logger.info("自动兜底: plan=%s draft→editing", plan_id)
-        svc.transition_status(plan_id, EditPlanStatus.EDITING)
-
-    # ── 自动兜底 2: 无片段 + 有 template_id → 从模板复制片段配置 ──────────
-    existing_clips = svc.count_clips(plan_id)
-    if existing_clips == 0 and plan_check.template_id:
-        logger.info(
-            "自动兜底: plan=%s 无片段，从模板 %s 复制片段配置",
-            plan_id,
-            plan_check.template_id,
-        )
-        # 优先从新模型 template_clip_configs 读取，若无则回退到旧模型 template_segments
-        clip_config_repo = SQLAlchemyTemplateClipConfigRepository(db)
-        configs = clip_config_repo.list_by_template(plan_check.template_id)
-        if configs:
-            for cfg in configs:
-                svc.create_clip(
-                    plan_id=plan_id,
-                    clip_type=cfg.clip_type.value if hasattr(cfg.clip_type, "value") else cfg.clip_type,
-                    order=cfg.order,
-                    template_clip_config_id=cfg.id,
-                    duration=cfg.default_duration,
-                    transition_effect=(
-                        cfg.transition_effect.value
-                        if hasattr(cfg.transition_effect, "value")
-                        else cfg.transition_effect
-                    ),
-                )
-            logger.info("自动兜底: plan=%s 从新模型 template_clip_configs 复制了 %d 个片段", plan_id, len(configs))
-        else:
-            # 回退到旧模型 template_segments
-            tpl_repo = SQLAlchemyTemplateRepository(db)
-            segments = tpl_repo.list_segments(plan_check.template_id)
-            for seg in segments:
-                avg_duration = (seg.duration_min + seg.duration_max) / 2
-                svc.create_clip(
-                    plan_id=plan_id,
-                    clip_type="main",  # 旧模型无结构角色，统一为主体片段
-                    order=seg.segment_order,
-                    duration=avg_duration,
-                    config={
-                        "material_type": seg.material_type or "",
-                        "template_segment_id": seg.id,
-                    },
-                )
-            logger.info("自动兜底: plan=%s 从旧模型 template_segments 复制了 %d 个片段", plan_id, len(segments))
-
-    # ── 自动兜底 3: 为没有素材的片段分配素材 ──────────────────────────
-    # 如果 plan.config.asset_ids 有素材，但 clips 没有 asset_id，自动按顺序分配
-    all_clips = svc.list_clips(plan_id)
-    clips_without_asset = [c for c in all_clips if not c.asset_id]
-    config_asset_ids = (plan_check.config or {}).get("asset_ids", [])
-    material_mode = (plan_check.config or {}).get("material_mode", "manual")
-
-    if clips_without_asset and config_asset_ids:
-        logger.info(
-            "自动兜底3: plan=%s 为 %d 个无素材片段分配 %d 个指定素材",
-            plan_id,
-            len(clips_without_asset),
-            len(config_asset_ids),
-        )
-        for i, clip in enumerate(clips_without_asset):
-            asset_idx = i % len(config_asset_ids)
-            svc.assign_asset(clip.id, config_asset_ids[asset_idx])
-        logger.info("自动兜底3: plan=%s 素材分配完成", plan_id)
-        clips_without_asset = []  # 已分配完
-
-    # ── 自动兜底 4: 自动素材模式 → 从项目默认视频素材库选取 ────────────
-    if clips_without_asset and material_mode == "auto" and plan_check.project_id:
-        import random
-
-        logger.info(
-            "自动兜底4: plan=%s 自动素材模式，从项目素材库选取素材 (%d 个片段需要)",
-            plan_id,
-            len(clips_without_asset),
-        )
-        # 找到项目的视频素材库
-        libs = asset_library_repo.find_by_project(plan_check.project_id)
-        video_lib = None
-        for lib in libs:
-            lib_kind = lib.kind.value if hasattr(lib.kind, "value") else lib.kind
-            if lib_kind == "video":
-                video_lib = lib
-                break
-
-        if video_lib:
-            assets = asset_repo.find_by_library(video_lib.id)
-            # 筛选 ready 状态的视频素材
-            ready_videos = [
-                a
-                for a in assets
-                if (a.status.value if hasattr(a.status, "value") else a.status) == "ready"
-                and a.mime_type
-                and a.mime_type.startswith("video")
-            ]
-            if ready_videos:
-                # 随机选取，按片段数轮询分配
-                random.shuffle(ready_videos)
-                for i, clip in enumerate(clips_without_asset):
-                    asset = ready_videos[i % len(ready_videos)]
-                    svc.assign_asset(clip.id, asset.id)
-                logger.info(
-                    "自动兜底4: plan=%s 从素材库 %s 分配了 %d 个素材给 %d 个片段",
-                    plan_id,
-                    video_lib.name,
-                    len(ready_videos),
-                    len(clips_without_asset),
-                )
-            else:
-                logger.warning("自动兜底4: plan=%s 素材库无可用视频素材", plan_id)
-        else:
-            logger.warning("自动兜底4: plan=%s 项目无视频素材库", plan_id)
-
-    # 检查是否可生成
-    try:
-        can_gen, reason = svc.can_generate(plan_id)
-    except ValueError as exc:
-        raise HTTPException(
-            status_code=status.HTTP_404_NOT_FOUND,
-            detail=str(exc),
-        )
-    if not can_gen:
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail=reason,
-        )
-
-    # 核心生成流程：捕获异常返回明确错误信息，避免裸 500
-    try:
-        # 将 pending 片段标记为 ready
-        clip_count = svc.mark_clips_ready(plan_id)
-
-        # 创建 GenerationTask
-        gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
-
-        # 队列限流预检查（repository 不支持计数时跳过）
-        user_id = current_user.user.id
-        try:
-            has_count = hasattr(gen_task_repo, "count_pending_by_user") and hasattr(
-                gen_task_repo, "count_pending_total"
-            )
-            if has_count:
-                user_pending = gen_task_repo.count_pending_by_user(user_id)
-                global_pending = gen_task_repo.count_pending_total()
-                if user_pending >= USER_PENDING_LIMIT:
-                    raise HTTPException(
-                        status_code=429,
-                        detail=f"您的待处理任务过多（当前 {user_pending}/{USER_PENDING_LIMIT}），请等待完成后再提交",
-                    )
-                if global_pending >= GLOBAL_PENDING_LIMIT:
-                    raise HTTPException(
-                        status_code=503,
-                        detail="系统繁忙，请稍后再试",
-                    )
-        except HTTPException:
-            raise
-        except Exception as e:
-            logger.warning("[队列限流] 剪辑计划限流检查失败，跳过: %s", e)
-
-        gen_task_use_case = CreateGenerationTaskUseCase(gen_task_repo)
-        plan = svc.get_plan_or_raise(plan_id)
-        gen_task = gen_task_use_case.execute(
-            CreateGenerationTaskCommand(
-                project_id="",
-                template_id=plan.template_id,
-                created_by_user_id=current_user.user.id,
-                source_edit_plan_id=plan_id,
-            )
-        )
-
-        # 将 generation_task_id 存入 plan config
-        svc.update_plan_config(plan_id, {"generation_task_id": gen_task.id})
-
-        # 流转状态为 rendering
-        svc.transition_status(plan_id, EditPlanStatus.RENDERING)
-
-        # 调度 Celery 任务
-        celery_app.send_task("worker.render_edit_plan", args=[plan_id])
-
-        # 获取最新状态
-        updated_plan = svc.get_plan_or_raise(plan_id)
-
-        logger.info(
-            "触发剪辑计划生成: plan_id=%s gen_task_id=%s clips=%d by user=%s",
-            plan_id,
-            gen_task.id,
-            clip_count,
-            current_user.user.id,
-        )
-
-        return EditPlanGenerateResponse(
-            plan_id=plan_id,
-            plan_status=updated_plan.status.value if hasattr(updated_plan.status, "value") else updated_plan.status,
-            generation_task_id=gen_task.id,
-            clip_count=clip_count,
-        )
-    except HTTPException:
-        # 已处理的 HTTP 异常直接透传
-        raise
-    except Exception:
-        logger.exception("触发剪辑计划生成失败: plan_id=%s", plan_id)
-        # 尝试将计划标记为失败（RENDERING → FAILED 是合法的状态流转）
-        try:
-            svc.transition_status(plan_id, EditPlanStatus.FAILED)
-        except Exception:
-            logger.warning("标记计划失败状态时异常: plan_id=%s", plan_id)
-        raise HTTPException(
-            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
-            detail="生成失败，请稍后重试",
-        )
-
-
-@router.get(
-    "/{plan_id}/generation-status",
-    response_model=EditPlanGenerationStatusResponse,
-)
-def get_generation_status(
-    plan_id: str,
-    db: Session = Depends(get_db_session),
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    project_repository: Any = Depends(get_project_repository),
-) -> EditPlanGenerationStatusResponse:
-    """查询剪辑计划生成进度
-
-    返回计划状态、关联的 GenerationTask ID、以及每个片段的状态。
-    """
-    svc = EditPlanService(db)
-    try:
-        gen_status = svc.get_generation_status(plan_id)
-    except ValueError as exc:
-        raise HTTPException(
-            status_code=status.HTTP_404_NOT_FOUND,
-            detail=str(exc),
-        )
-
-    plan = gen_status["plan"]
-    # 项目鉴权
-    if plan.project_id:
-        check_project_access(plan.project_id, current_user.user.id, project_repository)
-    clips = gen_status["clips"]
-
-    clip_items = [
-        ClipStatusItem(
-            clip_id=c.id,
-            clip_type=c.clip_type,
-            order=c.order,
-            status=c.status.value if hasattr(c.status, "value") else c.status,
-            asset_id=c.asset_id or "",
-            text_content=c.text_content or "",
-            duration=c.duration,
-        )
-        for c in clips
-    ]
-
-    return EditPlanGenerationStatusResponse(
-        plan_id=plan_id,
-        plan_status=plan.status.value if hasattr(plan.status, "value") else plan.status,
-        generation_task_id=gen_status["generation_task_id"],
-        clips=clip_items,
-    )
-
-
-@router.get(
-    "/{plan_id}/generations",
-    response_model=EditPlanGenerationsResponse,
-)
-def list_plan_generations(
-    plan_id: str,
-    db: Session = Depends(get_db_session),
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    project_repository: Any = Depends(get_project_repository),
-) -> EditPlanGenerationsResponse:
-    """查询剪辑计划关联的所有生成记录
-
-    返回该剪辑计划触发的所有 GenerationTask，按创建时间倒序。
-    """
-    svc = EditPlanService(db)
-    # 验证计划存在 + 项目鉴权
-    plan = svc.get_plan_or_raise(plan_id)
-    if plan.project_id:
-        check_project_access(plan.project_id, current_user.user.id, project_repository)
-
-    gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
-    tasks = gen_task_repo.list_by_source_edit_plan(plan_id)
-    items = [
-        GenerationTaskResponse(
-            id=t.id,
-            project_id=t.project_id,
-            asset_library_id=t.asset_library_id,
-            strategy_id=t.strategy_id,
-            voice_library_id=t.voice_library_id,
-            template_id=t.template_id,
-            asset_ids=t.asset_ids,
-            title_ids=t.title_ids,
-            voice_ids=t.voice_ids,
-            source_edit_plan_id=t.source_edit_plan_id or "",
-            status=t.status.value if hasattr(t.status, "value") else t.status,
-            progress=t.progress,
-            result_count=t.result_count,
-            error_message=t.error_message,
-        )
-        for t in tasks
-    ]
-    return EditPlanGenerationsResponse(items=items, total=len(items))
-
-
-# ── AI 推荐 & 封面生成端点（任务 3.09） ────────────────────────────────────────
-
-
-@router.post(
-    "/{plan_id}/ai-recommend",
-    response_model=AIRecommendResponse,
-)
-def ai_recommend_clips(
-    plan_id: str,
-    body: AIRecommendRequest,
-    db: Session = Depends(get_db_session),
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    project_repository: Any = Depends(get_project_repository),
-) -> AIRecommendResponse:
-    """AI 推荐片段方案
-
-    调用 AI 服务分析素材，自动生成片段编排方案并写入剪辑计划。
-
-    流程：
-    1. 验证计划存在且状态为 draft/editing
-    2. 调用 AI 推荐服务（当前为 stub，后续接入真实 AI）
-    3. 清除计划现有片段，按推荐方案重新创建
-    4. 更新计划 config（cover/title/subtitle/bgm）和 total_duration
-    5. 返回推荐方案详情
-
-    前端对接：
-    - 请求体只需传 asset_ids（必填），editing_mode 和 target_duration 可选
-    - 返回的 clips 可直接渲染到时间线
-    - 返回的 config 包含推荐的封面/标题/字幕/BGM 配置
-    """
-    svc = EditPlanService(db)
-
-    # 验证计划存在
-    try:
-        plan = svc.get_plan_or_raise(plan_id)
-    except ValueError as exc:
-        raise HTTPException(
-            status_code=status.HTTP_404_NOT_FOUND,
-            detail=str(exc),
-        )
-
-    # 项目鉴权
-    if plan.project_id:
-        check_project_access(plan.project_id, current_user.user.id, project_repository)
-
-    # 验证状态：只允许 draft 或 editing
-    plan_status = plan.status.value if hasattr(plan.status, "value") else plan.status
-    if plan_status not in ("draft", "editing"):
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail="当前计划状态不支持AI推荐，请先创建或编辑计划后再试",
-        )
-
-    # 调用 AI 推荐服务（同步调用 stub，后续改为 Celery 异步）
-    from apps.worker.worker_app.tasks.ai_tasks import run_ai_recommend
-
-    result = run_ai_recommend(
-        plan_id=plan_id,
-        template_id=plan.template_id,
-        asset_ids=body.asset_ids,
-        editing_mode=body.editing_mode,
-        target_duration=body.target_duration,
-    )
-
-    # ── 事务保护：清除 → 重建 → 更新 必须在同一逻辑事务中 ──
-    # TODO: 当前各 repo 方法内部 commit()，无法真正回滚。
-    #       后续重构 repo 为 flush() 模式后，此处改为统一 commit。
-    try:
-        # 清除现有片段
-        svc.delete_all_clips(plan_id)
-
-        # 按推荐方案创建新片段
-        for clip_data in result["clips"]:
-            svc.create_clip(
-                plan_id=plan_id,
-                clip_type=clip_data["clip_type"],
-                order=clip_data["order"],
-                text_content=clip_data.get("text_content", ""),
-                duration=clip_data["duration"],
-                transition_effect=clip_data.get("transition_effect", "cut"),
-                asset_id=clip_data.get("asset_id", ""),
-                start_time=clip_data.get("start_time", 0.0),
-                config=clip_data.get("config", {}),
-            )
-
-        # 更新计划 config 和 total_duration
-        normalized_config = normalize_plan_config(result.get("config", {}))
-        svc.update_plan(
-            plan_id,
-            config=normalized_config,
-            total_duration=result["total_duration"],
-        )
-    except Exception:
-        logger.exception("AI 推荐写入失败，plan_id=%s 数据可能不一致", plan_id)
-        # 尝试回滚未提交的变更
-        try:
-            db.rollback()
-        except Exception:
-            pass
-        raise HTTPException(
-            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
-            detail="AI推荐结果保存失败，请稍后重试",
-        )
-
-    logger.info(
-        "AI 推荐片段方案: plan_id=%s clips=%d duration=%.1f by user=%s",
-        plan_id,
-        len(result["clips"]),
-        result["total_duration"],
-        current_user.user.id,
-    )
-
-    return AIRecommendResponse(
-        plan_id=plan_id,
-        clips=[
-            AIRecommendClipItem(
-                clip_type=c["clip_type"],
-                order=c["order"],
-                text_content=c.get("text_content", ""),
-                duration=c["duration"],
-                transition_effect=c.get("transition_effect", "cut"),
-                asset_id=c.get("asset_id", ""),
-                start_time=c.get("start_time", 0.0),
-                config=c.get("config", {}),
-            )
-            for c in result["clips"]
-        ],
-        config=normalized_config,
-        total_duration=result["total_duration"],
-        confidence=result["confidence"],
-    )
-
-
-@router.post(
-    "/{plan_id}/generate-cover",
-    response_model=GenerateCoverResponse,
-)
-def generate_cover(
-    plan_id: str,
-    body: GenerateCoverRequest,
-    db: Session = Depends(get_db_session),
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    project_repository: Any = Depends(get_project_repository),
-) -> GenerateCoverResponse:
-    """AI 生成封面
-
-    调用 AI 服务从视频中选帧或生成封面图，并更新计划 config.cover。
-
-    流程：
-    1. 验证计划存在
-    2. 调用 AI 封面生成服务（当前为 stub，后续接入真实 AI）
-    3. 更新 plan.config["cover"] 为生成的封面数据
-    4. 返回封面数据
-
-    前端对接：
-    - cover_type=ai_frame: AI 智能选帧（默认）
-    - cover_type=manual: 手动选帧，需传 frame_time
-    - cover_type=upload: 用户上传，接口返回空 image_url，前端自行上传后更新
-    - cover_type=ai_regenerate: AI 重新生成
-    """
-    svc = EditPlanService(db)
-
-    # 验证计划存在
-    try:
-        plan = svc.get_plan_or_raise(plan_id)
-    except ValueError as exc:
-        raise HTTPException(
-            status_code=status.HTTP_404_NOT_FOUND,
-            detail=str(exc),
-        )
-
-    # 项目鉴权
-    if plan.project_id:
-        check_project_access(plan.project_id, current_user.user.id, project_repository)
-
-    # 调用 AI 封面生成服务
-    from apps.worker.worker_app.tasks.ai_tasks import run_generate_cover
-
-    cover_data = run_generate_cover(
-        plan_id=plan_id,
-        asset_ids=body.asset_ids,
-        cover_type=body.cover_type,
-        frame_time=body.frame_time,
-    )
-
-    # 更新 plan.config["cover"]
-    current_config = dict(plan.config)
-    current_config["cover"] = cover_data
-    normalized = normalize_plan_config(current_config)
-    svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
-
-    logger.info(
-        "AI 封面生成: plan_id=%s type=%s by user=%s",
-        plan_id,
-        body.cover_type,
-        current_user.user.id,
-    )
-
-    return GenerateCoverResponse(
-        plan_id=plan_id,
-        cover=cover_data,
-    )
-
-
-# ── Timeline / Scene 端点（P2-6） ─────────────────────────────────────────────
-
-
-class TimelineSceneResponse(BaseModel):
-    """时间线场景"""
-
-    scene: str = Field(..., description="场景描述")
-    time: str = Field(..., description='时间范围，如 "0:00 - 0:05"')
-    duration: float = Field(..., ge=0, description="时长（秒）")
-    color: str = Field(..., description="展示颜色")
-    clip_id: str = Field(default="", description="关联的片段 ID")
-    clip_type: str = Field(default="", description="片段类型")
-
-
-class TimelineResponse(BaseModel):
-    """时间线响应"""
-
-    plan_id: str
-    total_duration: float
-    scenes: List[TimelineSceneResponse]
-
-
-# clip_type → 颜色映射
-_CLIP_TYPE_COLORS = {
-    "intro": "#6366f1",
-    "title": "#6366f1",
-    "product": "#818cf8",
-    "showcase": "#10b981",
-    "scene": "#10b981",
-    "subtitle": "#f59e0b",
-    "text": "#f59e0b",
-    "cta": "#ef4444",
-    "outro": "#ef4444",
-    "voiceover": "#8b5cf6",
-    "transition": "#64748b",
-}
-
-_DEFAULT_COLOR = "#6366f1"
-
-
-def _format_time(seconds: float) -> str:
-    """将秒数格式化为 M:SS"""
-    m = int(seconds) // 60
-    s = int(seconds) % 60
-    return f"{m}:{s:02d}"
-
-
-def _clip_type_to_scene_label(clip_type: str, text_content: str) -> str:
-    """根据 clip_type 和 text_content 生成场景描述"""
-    type_labels = {
-        "intro": "开场",
-        "title": "标题",
-        "product": "产品展示",
-        "showcase": "场景展示",
-        "scene": "场景",
-        "subtitle": "字幕",
-        "text": "文字",
-        "cta": "结尾 CTA",
-        "outro": "结尾",
-        "voiceover": "配音",
-        "transition": "转场",
-    }
-    label = type_labels.get(clip_type, clip_type or "片段")
-    if text_content:
-        # 截取前 20 个字符作为副标题
-        short = text_content[:20].strip()
-        if short:
-            return f"{label} - {short}"
-    return label
-
-
-@router.get(
-    "/{plan_id}/timeline",
-    response_model=TimelineResponse,
-)
-def get_plan_timeline(
-    plan_id: str,
-    db: Session = Depends(get_db_session),
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    project_repository: Any = Depends(get_project_repository),
-) -> TimelineResponse:
-    """获取剪辑计划的时间线场景数据
-
-    返回按计划片段排序的时间线场景列表，供前端 GeneratePage 渲染使用。
-    """
-    svc = EditPlanService(db)
-    plan = svc.get_plan_or_raise(plan_id)
-    # 项目鉴权
-    if plan.project_id:
-        check_project_access(plan.project_id, current_user.user.id, project_repository)
-
-    clips = svc.list_clips(plan_id=plan_id, skip=0, limit=200)
-    # 按 order 排序
-    clips.sort(key=lambda c: c.order)
-
-    scenes: List[TimelineSceneResponse] = []
-    current_time = 0.0
-
-    for clip in clips:
-        start = current_time
-        end = start + clip.duration
-        color = _CLIP_TYPE_COLORS.get(clip.clip_type, _DEFAULT_COLOR)
-        scene_label = _clip_type_to_scene_label(clip.clip_type, clip.text_content)
-
-        scenes.append(
-            TimelineSceneResponse(
-                scene=scene_label,
-                time=f"{_format_time(start)} - {_format_time(end)}",
-                duration=clip.duration,
-                color=color,
-                clip_id=clip.id,
-                clip_type=clip.clip_type,
-            )
-        )
-        current_time = end
-
-    total_duration = sum(s.duration for s in scenes) or plan.total_duration
-
-    return TimelineResponse(
-        plan_id=plan_id,
-        total_duration=total_duration,
-        scenes=scenes,
-    )
-
-
-# ── 基于模板生成剪辑计划 ─────────────────────────────────────────────────────
-
-
-@router.post(
-    "/generate-from-template",
-    response_model=GenerateFromTemplateResponse,
-    status_code=status.HTTP_201_CREATED,
-)
-def generate_from_template(
-    body: GenerateFromTemplateRequest,
-    db: Session = Depends(get_db_session),
-    current_user: AuthenticatedUser = Depends(get_current_user),
-    project_repository: Any = Depends(get_project_repository),
-) -> GenerateFromTemplateResponse:
-    """基于模板 + 素材自动生成剪辑计划
-
-    流程:
-    1. 获取模板及其片段配置
-    2. 调用 PlanGeneratorService 生成 EditPlan + EditPlanClips
-    3. 返回完整的计划和片段列表
-    """
-    from app.services import EditTemplateService
-
-    # 项目鉴权
-    if body.project_id:
-        check_project_access(body.project_id, current_user.user.id, project_repository)
-
-    template_svc = EditTemplateService(db)
-
-    # 获取模板
-    try:
-        template = template_svc.get_template_or_raise(body.template_id)
-    except ValueError as exc:
-        raise HTTPException(
-            status_code=status.HTTP_404_NOT_FOUND,
-            detail=str(exc),
-        )
-
-    # 获取模板片段配置
-    clip_configs = template_svc.list_clip_configs(body.template_id, skip=0, limit=200)
-
-    # 调用 PlanGeneratorService 生成计划
-    generator = PlanGeneratorService(db)
-    result = generator.generate_from_template(
-        template=template,
-        clip_configs=clip_configs,
-        asset_ids=body.asset_ids,
-        project_id=body.project_id,
-        created_by_user_id=current_user.user.id,
-        name=body.name,
-    )
-
-    plan = result["plan"]
-    clips = result["clips"]
-
-    logger.info(
-        "基于模板生成剪辑计划: plan_id=%s template_id=%s clips=%d by user=%s",
-        plan.id,
-        body.template_id,
-        len(clips),
-        current_user.user.id,
-    )
-
-    return GenerateFromTemplateResponse(
-        plan=_to_response(plan),
-        clips=[
-            _PlanClipItem(
-                id=c.id,
-                clip_type=c.clip_type,
-                order=c.order,
-                asset_id=c.asset_id,
-                text_content=c.text_content,
-                start_time=c.start_time,
-                duration=c.duration,
-                transition_effect=c.transition_effect,
-                status=c.status.value if hasattr(c.status, "value") else c.status,
-                config=c.config,
-                created_at=c.created_at,
-                updated_at=c.updated_at,
-            )
-            for c in clips
-        ],
-    )
+router.include_router(generation_router)
+router.include_router(ai_router)
+router.include_router(timeline_router)

apps/api/app/api/routes/edit_plans_ai.py

@@ -0,0 +1,199 @@
+"""剪辑计划 AI 推荐 & 封面生成 API 端点。
+
+从 edit_plans.py 拆分，包含：
+- POST /{plan_id}/ai-recommend    AI 推荐片段方案
+- POST /{plan_id}/generate-cover  AI 生成封面
+"""
+
+from __future__ import annotations
+
+import logging
+from typing import Any
+
+from app.api.routes._helpers import check_project_access
+from app.api.routes.edit_plans import (
+    AIRecommendClipItem,
+    AIRecommendRequest,
+    AIRecommendResponse,
+    GenerateCoverRequest,
+    GenerateCoverResponse,
+)
+from app.auth import AuthenticatedUser, get_current_user
+from app.dependencies import get_db_session, get_project_repository
+from app.services import EditPlanService
+from fastapi import APIRouter, Depends, HTTPException, status
+from sqlalchemy.orm import Session
+
+from packages.domain.config_schemas import normalize_plan_config
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter()
+
+
+@router.post(
+    "/{plan_id}/ai-recommend",
+    response_model=AIRecommendResponse,
+)
+def ai_recommend_clips(
+    plan_id: str,
+    body: AIRecommendRequest,
+    db: Session = Depends(get_db_session),
+    current_user: AuthenticatedUser = Depends(get_current_user),
+    project_repository: Any = Depends(get_project_repository),
+) -> AIRecommendResponse:
+    """AI 推荐片段方案
+
+    调用 AI 服务分析素材，自动生成片段编排方案并写入剪辑计划。
+
+    流程：
+    1. 验证计划存在且状态为 draft/editing
+    2. 调用 AI 推荐服务（当前为 stub，后续接入真实 AI）
+    3. 清除计划现有片段，按推荐方案重新创建
+    4. 更新计划 config（cover/title/subtitle/bgm）和 total_duration
+    5. 返回推荐方案详情
+    """
+    svc = EditPlanService(db)
+
+    try:
+        plan = svc.get_plan_or_raise(plan_id)
+    except ValueError as exc:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc))
+
+    if plan.project_id:
+        check_project_access(plan.project_id, current_user.user.id, project_repository)
+
+    plan_status = plan.status.value if hasattr(plan.status, "value") else plan.status
+    if plan_status not in ("draft", "editing"):
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail="当前计划状态不支持AI推荐，请先创建或编辑计划后再试",
+        )
+
+    from apps.worker.worker_app.tasks.ai_tasks import run_ai_recommend
+
+    result = run_ai_recommend(
+        plan_id=plan_id,
+        template_id=plan.template_id,
+        asset_ids=body.asset_ids,
+        editing_mode=body.editing_mode,
+        target_duration=body.target_duration,
+    )
+
+    # 事务保护：清除 → 重建 → 更新 必须在同一逻辑事务中
+    try:
+        svc.delete_all_clips(plan_id)
+
+        for clip_data in result["clips"]:
+            svc.create_clip(
+                plan_id=plan_id,
+                clip_type=clip_data["clip_type"],
+                order=clip_data["order"],
+                text_content=clip_data.get("text_content", ""),
+                duration=clip_data["duration"],
+                transition_effect=clip_data.get("transition_effect", "cut"),
+                asset_id=clip_data.get("asset_id", ""),
+                start_time=clip_data.get("start_time", 0.0),
+                config=clip_data.get("config", {}),
+            )
+
+        normalized_config = normalize_plan_config(result.get("config", {}))
+        svc.update_plan(
+            plan_id,
+            config=normalized_config,
+            total_duration=result["total_duration"],
+        )
+    except Exception:
+        logger.exception("AI 推荐写入失败，plan_id=%s 数据可能不一致", plan_id)
+        try:
+            db.rollback()
+        except Exception as rollback_err:
+            logger.error(
+                "AI 推荐回滚失败，数据库会话可能处于不一致状态: plan_id=%s error=%s",
+                plan_id,
+                rollback_err,
+            )
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail="AI推荐结果保存失败，请稍后重试",
+        )
+
+    logger.info(
+        "AI 推荐片段方案: plan_id=%s clips=%d duration=%.1f by user=%s",
+        plan_id,
+        len(result["clips"]),
+        result["total_duration"],
+        current_user.user.id,
+    )
+
+    return AIRecommendResponse(
+        plan_id=plan_id,
+        clips=[
+            AIRecommendClipItem(
+                clip_type=c["clip_type"],
+                order=c["order"],
+                text_content=c.get("text_content", ""),
+                duration=c["duration"],
+                transition_effect=c.get("transition_effect", "cut"),
+                asset_id=c.get("asset_id", ""),
+                start_time=c.get("start_time", 0.0),
+                config=c.get("config", {}),
+            )
+            for c in result["clips"]
+        ],
+        config=normalized_config,
+        total_duration=result["total_duration"],
+        confidence=result["confidence"],
+    )
+
+
+@router.post(
+    "/{plan_id}/generate-cover",
+    response_model=GenerateCoverResponse,
+)
+def generate_cover(
+    plan_id: str,
+    body: GenerateCoverRequest,
+    db: Session = Depends(get_db_session),
+    current_user: AuthenticatedUser = Depends(get_current_user),
+    project_repository: Any = Depends(get_project_repository),
+) -> GenerateCoverResponse:
+    """AI 生成封面
+
+    调用 AI 服务从视频中选帧或生成封面图，并更新计划 config.cover。
+    """
+    svc = EditPlanService(db)
+
+    try:
+        plan = svc.get_plan_or_raise(plan_id)
+    except ValueError as exc:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc))
+
+    if plan.project_id:
+        check_project_access(plan.project_id, current_user.user.id, project_repository)
+
+    from apps.worker.worker_app.tasks.ai_tasks import run_generate_cover
+
+    cover_data = run_generate_cover(
+        plan_id=plan_id,
+        asset_ids=body.asset_ids,
+        cover_type=body.cover_type,
+        frame_time=body.frame_time,
+    )
+
+    current_config = dict(plan.config)
+    current_config["cover"] = cover_data
+    normalized = normalize_plan_config(current_config)
+    svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
+
+    logger.info(
+        "AI 封面生成: plan_id=%s type=%s by user=%s",
+        plan_id,
+        body.cover_type,
+        current_user.user.id,
+    )
+
+    return GenerateCoverResponse(
+        plan_id=plan_id,
+        cover=cover_data,
+    )

apps/api/app/api/routes/edit_plans_generation.py

@@ -0,0 +1,383 @@
+"""剪辑计划生成相关 API 端点。
+
+从 edit_plans.py 拆分，包含：
+- POST /{plan_id}/generate          触发剪辑渲染生成
+- GET  /{plan_id}/generation-status 查询生成进度
+- GET  /{plan_id}/generations       查询关联的生成记录
+"""
+
+from __future__ import annotations
+
+import logging
+from typing import Any
+
+from app.api.routes._helpers import check_project_access
+from app.api.routes.edit_plans import (
+    ClipStatusItem,
+    EditPlanGenerateResponse,
+    EditPlanGenerationsResponse,
+    EditPlanGenerationStatusResponse,
+)
+from app.auth import AuthenticatedUser, get_current_user
+from app.core.celery_app import celery_app
+from app.core.task_enqueue import GLOBAL_PENDING_LIMIT, USER_PENDING_LIMIT
+from app.dependencies import get_asset_library_repository, get_asset_repository, get_db_session, get_project_repository
+from app.services import EditPlanService
+from fastapi import APIRouter, Depends, HTTPException, status
+from sqlalchemy.orm import Session
+
+from packages.adapters.sqlalchemy_impl.generation_task_repository import (
+    SQLAlchemyGenerationTaskRepository,
+)
+from packages.adapters.sqlalchemy_impl.template_clip_config_repository import (
+    SQLAlchemyTemplateClipConfigRepository,
+)
+from packages.adapters.sqlalchemy_impl.template_repository import (
+    SQLAlchemyTemplateRepository,
+)
+from packages.application.generation_tasks import (
+    CreateGenerationTaskCommand,
+    CreateGenerationTaskUseCase,
+)
+from packages.domain.edit_plan import EditPlanStatus
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter()
+
+
+def _auto_fallback_draft_to_editing(svc: EditPlanService, plan_id: str, plan_check) -> None:
+    """自动兜底 1: draft → editing"""
+    if plan_check.status == EditPlanStatus.DRAFT:
+        logger.info("自动兜底: plan=%s draft→editing", plan_id)
+        svc.transition_status(plan_id, EditPlanStatus.EDITING)
+
+
+def _auto_fallback_copy_template_clips(svc: EditPlanService, plan_id: str, plan_check, db: Session) -> None:
+    """自动兜底 2: 无片段 + 有 template_id → 从模板复制片段配置"""
+    existing_clips = svc.count_clips(plan_id)
+    if existing_clips == 0 and plan_check.template_id:
+        logger.info(
+            "自动兜底: plan=%s 无片段，从模板 %s 复制片段配置",
+            plan_id,
+            plan_check.template_id,
+        )
+        clip_config_repo = SQLAlchemyTemplateClipConfigRepository(db)
+        configs = clip_config_repo.list_by_template(plan_check.template_id)
+        if configs:
+            for cfg in configs:
+                svc.create_clip(
+                    plan_id=plan_id,
+                    clip_type=cfg.clip_type.value if hasattr(cfg.clip_type, "value") else cfg.clip_type,
+                    order=cfg.order,
+                    template_clip_config_id=cfg.id,
+                    duration=cfg.default_duration,
+                    transition_effect=(
+                        cfg.transition_effect.value
+                        if hasattr(cfg.transition_effect, "value")
+                        else cfg.transition_effect
+                    ),
+                )
+            logger.info("自动兜底: plan=%s 从新模型 template_clip_configs 复制了 %d 个片段", plan_id, len(configs))
+        else:
+            tpl_repo = SQLAlchemyTemplateRepository(db)
+            segments = tpl_repo.list_segments(plan_check.template_id)
+            for seg in segments:
+                avg_duration = (seg.duration_min + seg.duration_max) / 2
+                svc.create_clip(
+                    plan_id=plan_id,
+                    clip_type="main",
+                    order=seg.segment_order,
+                    duration=avg_duration,
+                    config={
+                        "material_type": seg.material_type or "",
+                        "template_segment_id": seg.id,
+                    },
+                )
+            logger.info("自动兜底: plan=%s 从旧模型 template_segments 复制了 %d 个片段", plan_id, len(segments))
+
+
+def _auto_fallback_assign_assets(
+    svc: EditPlanService,
+    plan_id: str,
+    plan_check,
+) -> list:
+    """自动兜底 3: 为没有素材的片段分配素材。返回剩余无素材片段列表。"""
+    all_clips = svc.list_clips(plan_id)
+    clips_without_asset = [c for c in all_clips if not c.asset_id]
+    config_asset_ids = (plan_check.config or {}).get("asset_ids", [])
+
+    if clips_without_asset and config_asset_ids:
+        logger.info(
+            "自动兜底3: plan=%s 为 %d 个无素材片段分配 %d 个指定素材",
+            plan_id,
+            len(clips_without_asset),
+            len(config_asset_ids),
+        )
+        for i, clip in enumerate(clips_without_asset):
+            asset_idx = i % len(config_asset_ids)
+            svc.assign_asset(clip.id, config_asset_ids[asset_idx])
+        logger.info("自动兜底3: plan=%s 素材分配完成", plan_id)
+        clips_without_asset = []
+
+    return clips_without_asset
+
+
+def _auto_fallback_auto_material_mode(
+    svc: EditPlanService,
+    plan_id: str,
+    plan_check,
+    clips_without_asset: list,
+    asset_library_repo: Any,
+    asset_repo: Any,
+) -> None:
+    """自动兜底 4: 自动素材模式 → 从项目默认视频素材库选取"""
+    if not clips_without_asset:
+        return
+    material_mode = (plan_check.config or {}).get("material_mode", "manual")
+    if material_mode != "auto" or not plan_check.project_id:
+        return
+
+    import random
+
+    logger.info(
+        "自动兜底4: plan=%s 自动素材模式，从项目素材库选取素材 (%d 个片段需要)",
+        plan_id,
+        len(clips_without_asset),
+    )
+    libs = asset_library_repo.find_by_project(plan_check.project_id)
+    video_lib = None
+    for lib in libs:
+        lib_kind = lib.kind.value if hasattr(lib.kind, "value") else lib.kind
+        if lib_kind == "video":
+            video_lib = lib
+            break
+
+    if video_lib:
+        assets = asset_repo.find_by_library(video_lib.id)
+        ready_videos = [
+            a
+            for a in assets
+            if (a.status.value if hasattr(a.status, "value") else a.status) == "ready"
+            and a.mime_type
+            and a.mime_type.startswith("video")
+        ]
+        if ready_videos:
+            random.shuffle(ready_videos)
+            for i, clip in enumerate(clips_without_asset):
+                asset = ready_videos[i % len(ready_videos)]
+                svc.assign_asset(clip.id, asset.id)
+            logger.info(
+                "自动兜底4: plan=%s 从素材库 %s 分配了 %d 个素材给 %d 个片段",
+                plan_id,
+                video_lib.name,
+                len(ready_videos),
+                len(clips_without_asset),
+            )
+        else:
+            logger.warning("自动兜底4: plan=%s 素材库无可用视频素材", plan_id)
+    else:
+        logger.warning("自动兜底4: plan=%s 项目无视频素材库", plan_id)
+
+
+def _check_queue_limits(gen_task_repo, user_id: str) -> None:
+    """队列限流预检查"""
+    try:
+        has_count = hasattr(gen_task_repo, "count_pending_by_user") and hasattr(
+            gen_task_repo, "count_pending_total"
+        )
+        if has_count:
+            user_pending = gen_task_repo.count_pending_by_user(user_id)
+            global_pending = gen_task_repo.count_pending_total()
+            if user_pending >= USER_PENDING_LIMIT:
+                raise HTTPException(
+                    status_code=429,
+                    detail=f"您的待处理任务过多（当前 {user_pending}/{USER_PENDING_LIMIT}），请等待完成后再提交",
+                )
+            if global_pending >= GLOBAL_PENDING_LIMIT:
+                raise HTTPException(
+                    status_code=503,
+                    detail="系统繁忙，请稍后再试",
+                )
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.warning("[队列限流] 剪辑计划限流检查失败，跳过: %s", e)
+
+
+@router.post("/{plan_id}/generate", response_model=EditPlanGenerateResponse)
+def generate_plan(
+    plan_id: str,
+    db: Session = Depends(get_db_session),
+    current_user: AuthenticatedUser = Depends(get_current_user),
+    project_repository: Any = Depends(get_project_repository),
+    asset_library_repo: Any = Depends(get_asset_library_repository),
+    asset_repo: Any = Depends(get_asset_repository),
+) -> EditPlanGenerateResponse:
+    """触发剪辑计划渲染生成
+
+    前置条件：计划状态必须为 editing，且至少有一个片段。
+    流程：
+    1. 验证计划状态为 editing
+    2. 将 pending 片段标记为 ready
+    3. 创建 GenerationTask
+    4. 调度 Celery 任务 worker.render_edit_plan
+    5. 将计划状态流转为 rendering
+    """
+    svc = EditPlanService(db)
+    plan_check = svc.get_plan(plan_id)
+    if plan_check is None:
+        raise HTTPException(status_code=404, detail=f"剪辑计划不存在: {plan_id}")
+    if plan_check.project_id:
+        check_project_access(plan_check.project_id, current_user.user.id, project_repository)
+
+    # 自动兜底流程
+    _auto_fallback_draft_to_editing(svc, plan_id, plan_check)
+    _auto_fallback_copy_template_clips(svc, plan_id, plan_check, db)
+    clips_without_asset = _auto_fallback_assign_assets(svc, plan_id, plan_check)
+    _auto_fallback_auto_material_mode(svc, plan_id, plan_check, clips_without_asset, asset_library_repo, asset_repo)
+
+    # 检查是否可生成
+    try:
+        can_gen, reason = svc.can_generate(plan_id)
+    except ValueError as exc:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc))
+    if not can_gen:
+        raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=reason)
+
+    # 核心生成流程
+    try:
+        clip_count = svc.mark_clips_ready(plan_id)
+
+        gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
+        user_id = current_user.user.id
+        _check_queue_limits(gen_task_repo, user_id)
+
+        gen_task_use_case = CreateGenerationTaskUseCase(gen_task_repo)
+        plan = svc.get_plan_or_raise(plan_id)
+        gen_task = gen_task_use_case.execute(
+            CreateGenerationTaskCommand(
+                project_id="",
+                template_id=plan.template_id,
+                created_by_user_id=current_user.user.id,
+                source_edit_plan_id=plan_id,
+            )
+        )
+
+        svc.update_plan_config(plan_id, {"generation_task_id": gen_task.id})
+        svc.transition_status(plan_id, EditPlanStatus.RENDERING)
+        celery_app.send_task("worker.render_edit_plan", args=[plan_id])
+
+        updated_plan = svc.get_plan_or_raise(plan_id)
+
+        logger.info(
+            "触发剪辑计划生成: plan_id=%s gen_task_id=%s clips=%d by user=%s",
+            plan_id,
+            gen_task.id,
+            clip_count,
+            current_user.user.id,
+        )
+
+        return EditPlanGenerateResponse(
+            plan_id=plan_id,
+            plan_status=updated_plan.status.value if hasattr(updated_plan.status, "value") else updated_plan.status,
+            generation_task_id=gen_task.id,
+            clip_count=clip_count,
+        )
+    except HTTPException:
+        raise
+    except Exception:
+        logger.exception("触发剪辑计划生成失败: plan_id=%s", plan_id)
+        try:
+            svc.transition_status(plan_id, EditPlanStatus.FAILED)
+        except Exception:
+            logger.warning("标记计划失败状态时异常: plan_id=%s", plan_id)
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail="生成失败，请稍后重试",
+        )
+
+
+@router.get(
+    "/{plan_id}/generation-status",
+    response_model=EditPlanGenerationStatusResponse,
+)
+def get_generation_status(
+    plan_id: str,
+    db: Session = Depends(get_db_session),
+    current_user: AuthenticatedUser = Depends(get_current_user),
+    project_repository: Any = Depends(get_project_repository),
+) -> EditPlanGenerationStatusResponse:
+    """查询剪辑计划生成进度"""
+    svc = EditPlanService(db)
+    try:
+        gen_status = svc.get_generation_status(plan_id)
+    except ValueError as exc:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc))
+
+    plan = gen_status["plan"]
+    if plan.project_id:
+        check_project_access(plan.project_id, current_user.user.id, project_repository)
+    clips = gen_status["clips"]
+
+    clip_items = [
+        ClipStatusItem(
+            clip_id=c.id,
+            clip_type=c.clip_type,
+            order=c.order,
+            status=c.status.value if hasattr(c.status, "value") else c.status,
+            asset_id=c.asset_id or "",
+            text_content=c.text_content or "",
+            duration=c.duration,
+        )
+        for c in clips
+    ]
+
+    return EditPlanGenerationStatusResponse(
+        plan_id=plan_id,
+        plan_status=plan.status.value if hasattr(plan.status, "value") else plan.status,
+        generation_task_id=gen_status["generation_task_id"],
+        clips=clip_items,
+    )
+
+
+@router.get(
+    "/{plan_id}/generations",
+    response_model=EditPlanGenerationsResponse,
+)
+def list_plan_generations(
+    plan_id: str,
+    db: Session = Depends(get_db_session),
+    current_user: AuthenticatedUser = Depends(get_current_user),
+    project_repository: Any = Depends(get_project_repository),
+) -> EditPlanGenerationsResponse:
+    """查询剪辑计划关联的所有生成记录"""
+    svc = EditPlanService(db)
+    plan = svc.get_plan_or_raise(plan_id)
+    if plan.project_id:
+        check_project_access(plan.project_id, current_user.user.id, project_repository)
+
+    from app.schemas.generation_task import GenerationTaskResponse
+
+    gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
+    tasks = gen_task_repo.list_by_source_edit_plan(plan_id)
+    items = [
+        GenerationTaskResponse(
+            id=t.id,
+            project_id=t.project_id,
+            asset_library_id=t.asset_library_id,
+            strategy_id=t.strategy_id,
+            voice_library_id=t.voice_library_id,
+            template_id=t.template_id,
+            asset_ids=t.asset_ids,
+            title_ids=t.title_ids,
+            voice_ids=t.voice_ids,
+            source_edit_plan_id=t.source_edit_plan_id or "",
+            status=t.status.value if hasattr(t.status, "value") else t.status,
+            progress=t.progress,
+            result_count=t.result_count,
+            error_message=t.error_message,
+        )
+        for t in tasks
+    ]
+    return EditPlanGenerationsResponse(items=items, total=len(items))

apps/api/app/api/routes/edit_plans_timeline.py

@@ -0,0 +1,221 @@
+"""剪辑计划时间线 & 模板生成 API 端点。
+
+从 edit_plans.py 拆分，包含：
+- GET  /{plan_id}/timeline            时间线场景数据
+- POST /generate-from-template        基于模板+素材自动生成剪辑计划
+"""
+
+from __future__ import annotations
+
+import logging
+from typing import Any, List
+
+from app.api.routes._helpers import check_project_access
+from app.api.routes.edit_plans import (
+    GenerateFromTemplateRequest,
+    GenerateFromTemplateResponse,
+    _PlanClipItem,
+    _to_response,
+)
+from app.auth import AuthenticatedUser, get_current_user
+from app.dependencies import get_db_session, get_project_repository
+from app.services import EditPlanService, PlanGeneratorService
+from fastapi import APIRouter, Depends, HTTPException, Query, status
+from pydantic import BaseModel, Field
+from sqlalchemy.orm import Session
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter()
+
+
+# ── Timeline Schemas ──────────────────────────────────────────────────────────
+
+
+class TimelineSceneResponse(BaseModel):
+    """时间线场景"""
+
+    scene: str = Field(..., description="场景描述")
+    time: str = Field(..., description='时间范围，如 "0:00 - 0:05"')
+    duration: float = Field(..., ge=0, description="时长（秒）")
+    color: str = Field(..., description="展示颜色")
+    clip_id: str = Field(default="", description="关联的片段 ID")
+    clip_type: str = Field(default="", description="片段类型")
+
+
+class TimelineResponse(BaseModel):
+    """时间线响应"""
+
+    plan_id: str
+    total_duration: float
+    scenes: List[TimelineSceneResponse]
+
+
+# clip_type → 颜色映射
+_CLIP_TYPE_COLORS = {
+    "intro": "#6366f1",
+    "title": "#6366f1",
+    "product": "#818cf8",
+    "showcase": "#10b981",
+    "scene": "#10b981",
+    "subtitle": "#f59e0b",
+    "text": "#f59e0b",
+    "cta": "#ef4444",
+    "outro": "#ef4444",
+    "voiceover": "#8b5cf6",
+    "transition": "#64748b",
+}
+
+_DEFAULT_COLOR = "#6366f1"
+
+
+def _format_time(seconds: float) -> str:
+    """将秒数格式化为 M:SS"""
+    m = int(seconds) // 60
+    s = int(seconds) % 60
+    return f"{m}:{s:02d}"
+
+
+def _clip_type_to_scene_label(clip_type: str, text_content: str) -> str:
+    """根据 clip_type 和 text_content 生成场景描述"""
+    type_labels = {
+        "intro": "开场",
+        "title": "标题",
+        "product": "产品展示",
+        "showcase": "场景展示",
+        "scene": "场景",
+        "subtitle": "字幕",
+        "text": "文字",
+        "cta": "结尾 CTA",
+        "outro": "结尾",
+        "voiceover": "配音",
+        "transition": "转场",
+    }
+    label = type_labels.get(clip_type, clip_type or "片段")
+    if text_content:
+        short = text_content[:20].strip()
+        if short:
+            return f"{label} - {short}"
+    return label
+
+
+# ── Routes ────────────────────────────────────────────────────────────────────
+
+
+@router.get(
+    "/{plan_id}/timeline",
+    response_model=TimelineResponse,
+)
+def get_plan_timeline(
+    plan_id: str,
+    db: Session = Depends(get_db_session),
+    current_user: AuthenticatedUser = Depends(get_current_user),
+    project_repository: Any = Depends(get_project_repository),
+) -> TimelineResponse:
+    """获取剪辑计划的时间线场景数据"""
+    svc = EditPlanService(db)
+    plan = svc.get_plan_or_raise(plan_id)
+    if plan.project_id:
+        check_project_access(plan.project_id, current_user.user.id, project_repository)
+
+    clips = svc.list_clips(plan_id=plan_id, skip=0, limit=200)
+    clips.sort(key=lambda c: c.order)
+
+    scenes: List[TimelineSceneResponse] = []
+    current_time = 0.0
+
+    for clip in clips:
+        start = current_time
+        end = start + clip.duration
+        color = _CLIP_TYPE_COLORS.get(clip.clip_type, _DEFAULT_COLOR)
+        scene_label = _clip_type_to_scene_label(clip.clip_type, clip.text_content)
+
+        scenes.append(
+            TimelineSceneResponse(
+                scene=scene_label,
+                time=f"{_format_time(start)} - {_format_time(end)}",
+                duration=clip.duration,
+                color=color,
+                clip_id=clip.id,
+                clip_type=clip.clip_type,
+            )
+        )
+        current_time = end
+
+    total_duration = sum(s.duration for s in scenes) or plan.total_duration
+
+    return TimelineResponse(
+        plan_id=plan_id,
+        total_duration=total_duration,
+        scenes=scenes,
+    )
+
+
+@router.post(
+    "/generate-from-template",
+    response_model=GenerateFromTemplateResponse,
+    status_code=status.HTTP_201_CREATED,
+)
+def generate_from_template(
+    body: GenerateFromTemplateRequest,
+    db: Session = Depends(get_db_session),
+    current_user: AuthenticatedUser = Depends(get_current_user),
+    project_repository: Any = Depends(get_project_repository),
+) -> GenerateFromTemplateResponse:
+    """基于模板 + 素材自动生成剪辑计划"""
+    from app.services import EditTemplateService
+
+    if body.project_id:
+        check_project_access(body.project_id, current_user.user.id, project_repository)
+
+    template_svc = EditTemplateService(db)
+
+    try:
+        template = template_svc.get_template_or_raise(body.template_id)
+    except ValueError as exc:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc))
+
+    clip_configs = template_svc.list_clip_configs(body.template_id, skip=0, limit=200)
+
+    generator = PlanGeneratorService(db)
+    result = generator.generate_from_template(
+        template=template,
+        clip_configs=clip_configs,
+        asset_ids=body.asset_ids,
+        project_id=body.project_id,
+        created_by_user_id=current_user.user.id,
+        name=body.name,
+    )
+
+    plan = result["plan"]
+    clips = result["clips"]
+
+    logger.info(
+        "基于模板生成剪辑计划: plan_id=%s template_id=%s clips=%d by user=%s",
+        plan.id,
+        body.template_id,
+        len(clips),
+        current_user.user.id,
+    )
+
+    return GenerateFromTemplateResponse(
+        plan=_to_response(plan),
+        clips=[
+            _PlanClipItem(
+                id=c.id,
+                clip_type=c.clip_type,
+                order=c.order,
+                asset_id=c.asset_id,
+                text_content=c.text_content,
+                start_time=c.start_time,
+                duration=c.duration,
+                transition_effect=c.transition_effect,
+                transition_duration=c.transition_duration,
+                status=c.status.value if hasattr(c.status, "value") else c.status,
+                config=c.config,
+                created_at=c.created_at,
+                updated_at=c.updated_at,
+            )
+            for c in clips
+        ],
+    )

apps/api/app/api/routes/feature_flags.py

@@ -19,11 +19,10 @@ from typing import Optional
 
 from app.api.routes.auth import _verify_internal_api_key
 from app.config import settings
-from fastapi import APIRouter, Depends, HTTPException, Query, status
+from fastapi import APIRouter, Depends, HTTPException, Query, Response, status
 from pydantic import BaseModel, Field
 
 from packages.adapters.redis.feature_flag_store import (
-    FEATURE_FLAG_REDIS_PREFIX,
     FeatureFlagConfig,
     RedisFeatureFlagStore,
 )
@@ -90,7 +89,7 @@ def _validate_flag_name(name: str) -> None:
 async def list_feature_flags(
     _: bool = Depends(_verify_internal_api_key),
     store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
-):
+) -> list[FeatureFlagResponse]:
     """列出所有 Feature Flag。"""
     try:
         flags = store.list_all()
@@ -114,7 +113,7 @@ async def get_feature_flag(
     name: str,
     _: bool = Depends(_verify_internal_api_key),
     store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
-):
+) -> FeatureFlagResponse:
     """获取单个 Feature Flag 配置。"""
     try:
         config = store.get(name)
@@ -130,7 +129,7 @@ async def check_feature_flag(
     identifier: Optional[str] = Query(None, description="标识符，如 user_id"),
     _: bool = Depends(_verify_internal_api_key),
     store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
-):
+) -> FeatureFlagCheckResponse:
     """检查某个标识符是否命中 Feature Flag。"""
     try:
         active = store.is_active(name, identifier=identifier)
@@ -146,7 +145,7 @@ async def update_feature_flag(
     request: FeatureFlagUpdateRequest,
     _: bool = Depends(_verify_internal_api_key),
     store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
-):
+) -> FeatureFlagResponse:
     """更新 Feature Flag 配置。
 
     只允许修改 ALLOWED_FLAGS 列表中的 flag。
@@ -174,12 +173,12 @@ async def update_feature_flag(
         raise HTTPException(status_code=500, detail=f"Failed to update flag: {exc}")
 
 
-@router.delete("/{name}", status_code=status.HTTP_204_NO_CONTENT)
+@router.delete("/{name}", status_code=status.HTTP_204_NO_CONTENT, response_model=None, response_class=Response)
 async def delete_feature_flag(
     name: str,
     _: bool = Depends(_verify_internal_api_key),
     store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
-):
+) :
     """删除 Feature Flag。
 
     只允许删除 ALLOWED_FLAGS 列表中的 flag。
@@ -189,7 +188,7 @@ async def delete_feature_flag(
     try:
         deleted = store.delete(name)
         logger.info("Feature flag deleted: name=%s deleted=%s", name, deleted)
-        return None
+        pass
     except Exception as exc:
         logger.error("Failed to delete feature flag %s: %s", name, exc)
         raise HTTPException(status_code=500, detail=f"Failed to delete flag: {exc}")

apps/api/app/api/routes/generation_tasks.py

@@ -3,6 +3,7 @@ import random
 import uuid
 from typing import Any
 
+from app.api.routes._helpers import check_project_access
 from app.auth import AuthenticatedUser, get_current_user
 from app.core.storage import OSSStorageService, get_storage_service
 from app.core.task_enqueue import (
@@ -10,7 +11,6 @@ from app.core.task_enqueue import (
     USER_PENDING_LIMIT,
     GlobalQueueFull,
     UserPendingLimitExceeded,
-    check_queue_limits,
     safe_enqueue_generation_task,
 )
 from app.dependencies import (
@@ -32,8 +32,6 @@ from app.schemas.generation_task import (
 )
 from fastapi import APIRouter, Depends, HTTPException
 
-from app.api.routes._helpers import check_project_access
-
 from packages.application import (
     CreateGenerationTaskCommand,
     CreateGenerationTaskUseCase,
@@ -269,6 +267,8 @@ def create_generation_task(
                     source_edit_plan_id=request.source_edit_plan_id,
                     asset_select_mode=request.asset_select_mode,
                     batch_id=batch_id,
+                    auto_retry_enabled=request.auto_retry_enabled,
+                    auto_retry_max=request.auto_retry_max,
                 )
             )
             try:

apps/api/app/api/routes/projects.py

@@ -7,7 +7,7 @@ from app.schemas.project import (
     ListProjectsResponse,
     ProjectResponse,
 )
-from fastapi import APIRouter, Depends, HTTPException, status
+from fastapi import APIRouter, Depends, HTTPException, Response, status
 
 from packages.application import (
     CreateProjectCommand,
@@ -72,12 +72,12 @@ def create_project(
     return _to_project_response(project)
 
 
-@router.delete("/{project_id}")
+@router.delete("/{project_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None, response_class=Response)
 def delete_project(
     project_id: str,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
     project_repository: Any = Depends(get_project_repository),
-):
+) -> dict:
     use_case = DeleteProjectUseCase(project_repository)
     try:
         deleted = use_case.execute(project_id, authenticated_user.user.id)
@@ -88,4 +88,4 @@ def delete_project(
         )
     if not deleted:
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Project not found")
-    return {"message": "Project deleted successfully"}
+    return

apps/api/app/api/routes/subscription.py

@@ -92,7 +92,7 @@ def _build_subscription_info(user: AuthenticatedUser) -> SubscriptionInfo:
 @router.get("/current", response_model=SubscriptionInfo)
 async def get_current_subscription(
     current_user: AuthenticatedUser = Depends(get_current_user),
-):
+) -> SubscriptionInfo:
     """获取当前订阅信息"""
     return _build_subscription_info(current_user)
 
@@ -100,7 +100,7 @@ async def get_current_subscription(
 @router.get("/billing-records", response_model=List[BillingRecord])
 async def get_billing_records(
     current_user: AuthenticatedUser = Depends(get_current_user),
-):
+) -> List[BillingRecord]:
     """获取账单记录列表"""
     from packages.adapters.sqlalchemy_impl.billing_repository import SQLAlchemyBillingRepository
     from packages.adapters.sqlalchemy_impl.session import SessionLocal
@@ -134,7 +134,7 @@ async def change_plan(
     request: ChangePlanRequest,
     current_user: AuthenticatedUser = Depends(get_current_user),
     user_repository: UserRepository = Depends(get_user_repository),
-):
+) -> ChangePlanResponse:
     """变更订阅套餐（升级/降级）"""
     # TODO: 接入支付验证（支付宝/微信支付）
     valid_plans = {"free", "standard", "pro", "enterprise"}
@@ -186,7 +186,7 @@ async def change_plan(
 async def cancel_subscription(
     current_user: AuthenticatedUser = Depends(get_current_user),
     user_repository: UserRepository = Depends(get_user_repository),
-):
+) -> SimpleResponse:
     """取消订阅"""
     user = current_user.user
     if user.subscription_plan == "free":
@@ -212,7 +212,7 @@ async def payment_callback(
     amount: float,
     payment_method: str = "alipay",
     payment_id: str = "",
-):
+) -> dict:
     """支付回调 - 在事务中更新账单和订阅状态
 
     注意：生产环境需要验证支付签名
@@ -263,7 +263,7 @@ async def payment_callback(
 async def toggle_auto_renew(
     request: ToggleAutoRenewRequest,
     current_user: AuthenticatedUser = Depends(get_current_user),
-):
+) -> SimpleResponse:
     """切换自动续费"""
     # TODO: 实际需要在数据库中存储 auto_renew 字段
     status_text = "已开启自动续费" if request.enabled else "已关闭自动续费"

apps/api/app/api/routes/tags.py

@@ -10,7 +10,7 @@ from app.schemas.tag import (
     ListTagsResponse,
     TagResponse,
 )
-from fastapi import APIRouter, Depends, HTTPException
+from fastapi import APIRouter, Depends, HTTPException, Response
 
 from packages.domain import Tag
 
@@ -52,7 +52,7 @@ def create_tag(
     return TagResponse(id=created.id, name=created.name, created_at=created.created_at)
 
 
-@router.delete("/{tag_id}", status_code=204)
+@router.delete("/{tag_id}", status_code=204, response_class=Response)
 def delete_tag(
     tag_id: str,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),

apps/api/app/api/routes/task_center.py

@@ -21,11 +21,12 @@ from app.schemas.task_center import (
     ProjectTaskResponse,
     UserTaskResponse,
 )
-from fastapi import APIRouter, Depends, HTTPException
+from fastapi import APIRouter, Depends, HTTPException, Query
 
 from packages.application import (
     CreateGenerationTaskCommand,
     CreateGenerationTaskUseCase,
+    RetryGenerationTaskUseCase,
     SubmitIngestJobCommand,
     SubmitIngestJobUseCase,
 )
@@ -34,6 +35,10 @@ logger = logging.getLogger(__name__)
 
 router = APIRouter()
 
+DEFAULT_PAGE_SIZE = 50
+MAX_PAGE_SIZE = 200
+
+
 def _humanize_task_error(error_message: str) -> str:
     raw = (error_message or "").strip()
     if not raw:
@@ -63,6 +68,8 @@ def _generation_step(task) -> str:
         return "生成完成"
     if s == "failed":
         return "生成失败"
+    if s == "cancelled":
+        return "已取消"
     return s
 
 
@@ -79,6 +86,26 @@ def _ingest_step(job) -> str:
     return s
 
 
+def _generation_task_to_user_response(task) -> UserTaskResponse:
+    return UserTaskResponse(
+        id=f"generation:{task.id}",
+        task_type="generation",
+        project_id=task.project_id,
+        template_id=task.template_id,
+        status=_status_value(task.status),
+        progress=task.progress,
+        current_step=_generation_step(task),
+        error_message=task.error_message,
+        error_info=task.error_info or {},
+        user_message=_humanize_task_error(task.error_message),
+        retryable=_status_value(task.status) == "failed",
+        retry_count=task.retry_count or 0,
+        source_id=task.id,
+        created_at=task.created_at,
+        updated_at=task.completed_at or task.started_at or task.created_at,
+    )
+
+
 def _generation_task_to_project_response(task) -> ProjectTaskResponse:
     return ProjectTaskResponse(
         id=f"generation:{task.id}",
@@ -88,8 +115,10 @@ def _generation_task_to_project_response(task) -> ProjectTaskResponse:
         progress=task.progress,
         current_step=_generation_step(task),
         error_message=task.error_message,
+        error_info=task.error_info or {},
         user_message=_humanize_task_error(task.error_message),
         retryable=_status_value(task.status) == "failed",
+        retry_count=task.retry_count or 0,
         source_id=task.id,
         template_id=task.template_id,
         created_at=task.created_at,
@@ -97,40 +126,66 @@ def _generation_task_to_project_response(task) -> ProjectTaskResponse:
     )
 
 
+def _validate_status(status: str | None) -> str | None:
+    """校验状态值合法性。"""
+    if status is None:
+        return None
+    valid = {"pending", "running", "completed", "failed", "cancelled"}
+    if status not in valid:
+        raise HTTPException(
+            status_code=400,
+            detail=f"无效的状态筛选值: {status}，允许值: {', '.join(sorted(valid))}",
+        )
+    return status
+
+
+def _clamp_page_size(page_size: int) -> int:
+    if page_size <= 0:
+        return DEFAULT_PAGE_SIZE
+    if page_size > MAX_PAGE_SIZE:
+        return MAX_PAGE_SIZE
+    return page_size
+
+
 # ── 用户级端点（放在项目级端点之前，避免路由冲突） ──
 
 
 @router.get("/tasks", response_model=ListTasksResponse)
 def list_user_tasks(
+    status: str | None = Query(None, description="按状态筛选：pending/running/completed/failed/cancelled"),
+    task_type: str | None = Query(None, description="按任务类型筛选：generation/ingest"),
+    page: int = Query(1, ge=1, description="页码，从1开始"),
+    page_size: int = Query(DEFAULT_PAGE_SIZE, ge=1, le=MAX_PAGE_SIZE, description="每页数量"),
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
     ingest_job_repository: Any = Depends(get_ingest_job_repository),
     generation_task_repository: Any = Depends(get_generation_task_repository),
 ) -> ListTasksResponse:
-    """用户级任务列表（跨 project），合并 ingest + generation 任务。"""
+    """用户级任务列表（跨 project），支持状态/类型筛选和分页。"""
+    status = _validate_status(status)
+    page_size = _clamp_page_size(page_size)
     user_id = authenticated_user.user.id
+    offset = (page - 1) * page_size
+
     items: list[UserTaskResponse] = []
 
-    for task in generation_task_repository.list_by_user(user_id):
-        items.append(
-            UserTaskResponse(
-                id=f"generation:{task.id}",
-                task_type="generation",
-                project_id=task.project_id,
-                template_id=task.template_id,
-                status=_status_value(task.status),
-                progress=task.progress,
-                current_step=_generation_step(task),
-                error_message=task.error_message,
-                user_message=_humanize_task_error(task.error_message),
-                retryable=_status_value(task.status) == "failed",
-                source_id=task.id,
-                created_at=task.created_at,
-                updated_at=task.completed_at or task.started_at or task.created_at,
-            )
+    # 生成任务
+    if task_type is None or task_type == "generation":
+        gen_result = generation_task_repository.list_by_user_filtered(
+            user_id,
+            status=status,
+            limit=page_size + 1,  # 多取一条判断是否还有下一页（简单起见这里用offset）
+            offset=offset,
         )
+        for task in gen_result:
+            items.append(_generation_task_to_user_response(task))
 
+    # 按时间倒序
     items.sort(key=lambda item: item.updated_at or item.created_at or "", reverse=True)
-    return ListTasksResponse(items=items)
+
+    # 总数（仅generation，ingest暂不计入总数以保持简单）
+    total = generation_task_repository.count_by_user_filtered(user_id, status=status)
+
+    return ListTasksResponse(items=items[:page_size], total=total)
 
 
 @router.post("/tasks/{task_id}/retry", response_model=UserTaskResponse)
@@ -139,7 +194,7 @@ def retry_task_by_id(
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
     generation_task_repository: Any = Depends(get_generation_task_repository),
 ) -> UserTaskResponse:
-    """简化重试：通过 task_id 直接重试失败的生成任务。"""
+    """原地重试失败的生成任务（复用同一个task_id，retry_count+1）。"""
     task = generation_task_repository.get(task_id)
     if task is None:
         raise HTTPException(status_code=404, detail="Generation task not found")
@@ -149,6 +204,7 @@ def retry_task_by_id(
         raise HTTPException(status_code=409, detail="Only failed tasks can be retried")
 
     user_id = authenticated_user.user.id
+
     # 预检查
     user_pending = generation_task_repository.count_pending_by_user(user_id)
     global_pending = generation_task_repository.count_pending_total()
@@ -163,20 +219,11 @@ def retry_task_by_id(
             detail="系统繁忙，请稍后再试",
         )
 
-    use_case = CreateGenerationTaskUseCase(generation_task_repository)
-    retried = use_case.execute(
-        CreateGenerationTaskCommand(
-            project_id=task.project_id,
-            asset_library_id=task.asset_library_id,
-            strategy_id=task.strategy_id,
-            voice_library_id=task.voice_library_id,
-            template_id=task.template_id,
-            asset_ids=task.asset_ids,
-            title_ids=task.title_ids,
-            voice_ids=task.voice_ids,
-            created_by_user_id=user_id,
-        )
-    )
+    # 原地重试
+    use_case = RetryGenerationTaskUseCase(generation_task_repository)
+    retried = use_case.execute(task_id)
+
+    # 重新入队
     try:
         if not safe_enqueue_generation_task(
             retried, generation_task_repository, user_id=user_id, log_prefix="[任务中心]"
@@ -192,18 +239,8 @@ def retry_task_by_id(
             status_code=503,
             detail="系统繁忙，请稍后再试",
         ) from None
-    return UserTaskResponse(
-        id=f"generation:{retried.id}",
-        task_type="generation",
-        project_id=retried.project_id,
-        template_id=retried.template_id,
-        status=_status_value(retried.status),
-        progress=retried.progress,
-        current_step=_generation_step(retried),
-        source_id=retried.id,
-        created_at=retried.created_at,
-        updated_at=retried.created_at,
-    )
+
+    return _generation_task_to_user_response(retried)
 
 
 # ── 项目级端点 ──
@@ -212,37 +249,64 @@ def retry_task_by_id(
 @router.get("/projects/{project_id}/tasks", response_model=ListProjectTasksResponse)
 def list_project_tasks(
     project_id: str,
+    status: str | None = Query(None, description="按状态筛选：pending/running/completed/failed/cancelled"),
+    task_type: str | None = Query(None, description="按任务类型筛选：generation/ingest"),
+    page: int = Query(1, ge=1, description="页码，从1开始"),
+    page_size: int = Query(DEFAULT_PAGE_SIZE, ge=1, le=MAX_PAGE_SIZE, description="每页数量"),
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
     project_repository: Any = Depends(get_project_repository),
     ingest_job_repository: Any = Depends(get_ingest_job_repository),
     generation_task_repository: Any = Depends(get_generation_task_repository),
 ) -> ListProjectTasksResponse:
+    """项目级任务列表，支持状态/类型筛选和分页。"""
     project = project_repository.find_by_id(project_id)
     if project is None:
         raise HTTPException(status_code=404, detail="Project not found")
 
+    status = _validate_status(status)
+    page_size = _clamp_page_size(page_size)
+    offset = (page - 1) * page_size
+
     items: list[ProjectTaskResponse] = []
-    for job in ingest_job_repository.list_by_project(project_id):
-        items.append(
-            ProjectTaskResponse(
-                id=f"ingest:{job.id}",
-                task_type="ingest",
-                project_id=job.project_id,
-                status=_status_value(job.status),
-                progress=100.0 if _status_value(job.status) == "completed" else 0.0,
-                current_step=_ingest_step(job),
-                error_message=job.error_message,
-                user_message=_humanize_task_error(job.error_message),
-                retryable=_status_value(job.status) == "failed",
-                source_id=job.id,
-                created_at=job.created_at,
-                updated_at=job.updated_at,
+
+    # 导入任务
+    if task_type is None or task_type == "ingest":
+        for job in ingest_job_repository.list_by_project(project_id):
+            if status and _status_value(job.status) != status:
+                continue
+            items.append(
+                ProjectTaskResponse(
+                    id=f"ingest:{job.id}",
+                    task_type="ingest",
+                    project_id=job.project_id,
+                    status=_status_value(job.status),
+                    progress=100.0 if _status_value(job.status) == "completed" else 0.0,
+                    current_step=_ingest_step(job),
+                    error_message=job.error_message,
+                    user_message=_humanize_task_error(job.error_message),
+                    retryable=_status_value(job.status) == "failed",
+                    source_id=job.id,
+                    created_at=job.created_at,
+                    updated_at=job.updated_at,
+                )
             )
+
+    # 生成任务
+    if task_type is None or task_type == "generation":
+        gen_items = generation_task_repository.list_by_project_filtered(
+            project_id,
+            status=status,
+            limit=page_size + 1,
+            offset=offset,
         )
-    for task in generation_task_repository.list_by_project(project_id):
-        items.append(_generation_task_to_project_response(task))
+        for task in gen_items:
+            items.append(_generation_task_to_project_response(task))
+
     items.sort(key=lambda item: item.updated_at or item.created_at or "", reverse=True)
-    return ListProjectTasksResponse(items=items)
+
+    total = generation_task_repository.count_by_project_filtered(project_id, status=status)
+
+    return ListProjectTasksResponse(items=items[:page_size], total=total)
 
 
 @router.post("/tasks/{task_type}/{source_id}/retry", response_model=ProjectTaskResponse)
@@ -253,6 +317,7 @@ def retry_project_task(
     ingest_job_repository: Any = Depends(get_ingest_job_repository),
     generation_task_repository: Any = Depends(get_generation_task_repository),
 ) -> ProjectTaskResponse:
+    """项目级任务重试。"""
     if task_type == "generation":
         task = generation_task_repository.get(source_id)
         if task is None:
@@ -261,6 +326,7 @@ def retry_project_task(
             raise HTTPException(status_code=409, detail="Only failed tasks can be retried")
 
         user_id = authenticated_user.user.id
+
         # 预检查
         user_pending = generation_task_repository.count_pending_by_user(user_id)
         global_pending = generation_task_repository.count_pending_total()
@@ -275,20 +341,10 @@ def retry_project_task(
                 detail="系统繁忙，请稍后再试",
             )
 
-        use_case = CreateGenerationTaskUseCase(generation_task_repository)
-        retried = use_case.execute(
-            CreateGenerationTaskCommand(
-                project_id=task.project_id,
-                asset_library_id=task.asset_library_id,
-                strategy_id=task.strategy_id,
-                voice_library_id=task.voice_library_id,
-                template_id=task.template_id,
-                asset_ids=task.asset_ids,
-                title_ids=task.title_ids,
-                voice_ids=task.voice_ids,
-                created_by_user_id=user_id,
-            )
-        )
+        # 原地重试
+        use_case = RetryGenerationTaskUseCase(generation_task_repository)
+        retried = use_case.execute(source_id)
+
         try:
             if not safe_enqueue_generation_task(
                 retried, generation_task_repository, user_id=user_id, log_prefix="[任务中心]"
@@ -305,6 +361,7 @@ def retry_project_task(
                 detail="系统繁忙，请稍后再试",
             ) from None
         return _generation_task_to_project_response(retried)
+
     if task_type == "ingest":
         job = ingest_job_repository.get(source_id)
         if job is None:

apps/api/app/api/routes/templates.py

@@ -8,13 +8,16 @@ from app.auth import AuthenticatedUser, get_current_user
 from app.dependencies import get_db_session
 from app.schemas.template import (
     CategoryResponse,
+    CopyTemplateRequest,
     CreateCategoryRequest,
     CreateTemplateRequest,
     GenerateWarningResponse,
     ListCategoriesResponse,
+    ListTagsResponse,
     ListTemplatesResponse,
     SegmentResponse,
     TemplateResponse,
+    TemplateUsageResponse,
     ToggleFavoriteResponse,
     UpdateTemplateRequest,
     ValidateTemplateRequest,
@@ -27,19 +30,25 @@ logger = logging.getLogger(__name__)
 
 from packages.adapters.sqlalchemy_impl.template_repository import SQLAlchemyTemplateRepository
 from packages.application.template.commands import (
+    CopyTemplateCommand,
     CreateCategoryCommand,
     CreateTemplateCommand,
+    ListTemplatesFilter,
     SegmentCommand,
     UpdateTemplateCommand,
     ValidateTemplateCommand,
 )
 from packages.application.template.use_cases import (
+    CopyTemplateUseCase,
+    CountTemplatesUseCase,
     CreateCategoryUseCase,
     CreateTemplateUseCase,
     DeleteCategoryUseCase,
     DeleteTemplateUseCase,
+    GetTemplateUsageUseCase,
     GetTemplateUseCase,
     ListCategoriesUseCase,
+    ListTagsUseCase,
     ListTemplatesUseCase,
     NotFoundError,
     UpdateTemplateUseCase,
@@ -67,7 +76,7 @@ def _segment_to_response(seg) -> SegmentResponse:
     )
 
 
-def _to_response(template) -> TemplateResponse:
+def _to_response(template, usage_count: int = 0) -> TemplateResponse:
     return TemplateResponse(
         id=template.id,
         user_id=template.user_id,
@@ -81,6 +90,7 @@ def _to_response(template) -> TemplateResponse:
         estimated_duration=template.estimated_duration,
         segments=[_segment_to_response(s) for s in getattr(template, "segments", [])],
         is_active=template.is_active,
+        usage_count=usage_count,
         created_at=template.created_at,
         updated_at=template.updated_at,
     )
@@ -93,19 +103,36 @@ def _to_response(template) -> TemplateResponse:
 def list_templates(
     skip: int = Query(0, ge=0),
     limit: int = Query(50, ge=1, le=200),
+    category: str | None = Query(None, description="按分类筛选"),
+    tag: str | None = Query(None, description="按标签筛选"),
+    keyword: str | None = Query(None, description="按名称关键词搜索"),
+    mode: str | None = Query(None, description="按剪辑模式筛选"),
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
     template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
 ) -> ListTemplatesResponse:
     user_id = authenticated_user.user.id
     try:
+        tpl_filter = ListTemplatesFilter(
+            category=category,
+            tag=tag,
+            keyword=keyword,
+            mode=mode,
+        )
         use_case = ListTemplatesUseCase(template_repository)
-        templates = use_case.execute(user_id, skip=skip, limit=limit)
-        total = template_repository.count_by_user(user_id)
+        templates = use_case.execute(user_id, skip=skip, limit=limit, filter=tpl_filter)
+        count_use_case = CountTemplatesUseCase(template_repository)
+        total = count_use_case.execute(user_id, filter=tpl_filter)
+
+        # 批量查询使用次数
+        items = []
+        for t in templates:
+            usage = template_repository.get_usage_count(t.id)
+            items.append(_to_response(t, usage_count=usage))
     except Exception:
         logger.exception("list_templates 查询失败: user_id=%s", user_id)
         return ListTemplatesResponse(items=[], total=0)
     return ListTemplatesResponse(
-        items=[_to_response(t) for t in templates],
+        items=items,
         total=total,
     )
 
@@ -120,12 +147,13 @@ def get_template(
     try:
         use_case = GetTemplateUseCase(template_repository)
         template = use_case.execute(template_id, user_id)
+        usage = template_repository.get_usage_count(template_id)
     except Exception:
         logger.exception("get_template 查询失败: template_id=%s", template_id)
         raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail="模板查询失败")
     if template is None:
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Template not found")
-    return _to_response(template)
+    return _to_response(template, usage_count=usage)
 
 
 @router.post("", response_model=TemplateResponse, status_code=status.HTTP_201_CREATED)
@@ -206,7 +234,7 @@ def update_template(
     return _to_response(template)
 
 
-@router.delete("/{template_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None)
+@router.delete("/{template_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None, response_class=Response)
 def delete_template(
     template_id: str,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
@@ -217,7 +245,48 @@ def delete_template(
     deleted = use_case.execute(template_id, user_id)
     if not deleted:
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Template not found")
-    return Response(status_code=204)
+    return
+
+
+@router.post("/{template_id}/copy", response_model=TemplateResponse, status_code=status.HTTP_201_CREATED)
+def copy_template(
+    template_id: str,
+    request: CopyTemplateRequest,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
+) -> TemplateResponse:
+    """复制模板（含所有片段配置）"""
+    user_id = authenticated_user.user.id
+    command = CopyTemplateCommand(
+        template_id=template_id,
+        user_id=user_id,
+        new_name=request.new_name,
+    )
+    use_case = CopyTemplateUseCase(template_repository)
+    try:
+        template = use_case.execute(command)
+    except NotFoundError:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Template not found")
+    except ValidationError as exc:
+        raise HTTPException(status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, detail=str(exc))
+    return _to_response(template)
+
+
+@router.get("/{template_id}/usage", response_model=TemplateUsageResponse)
+def get_template_usage(
+    template_id: str,
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
+) -> TemplateUsageResponse:
+    """获取模板使用次数（关联的剪辑计划数量）"""
+    user_id = authenticated_user.user.id
+    # 鉴权：确保模板存在且属于当前用户
+    use_case = GetTemplateUseCase(template_repository)
+    template = use_case.execute(template_id, user_id)
+    if template is None:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Template not found")
+    usage = template_repository.get_usage_count(template_id)
+    return TemplateUsageResponse(template_id=template_id, usage_count=usage)
 
 
 @router.post("/{template_id}/toggle-favorite", response_model=ToggleFavoriteResponse)
@@ -307,7 +376,7 @@ def create_category(
     )
 
 
-@router.delete("/categories/{category_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None)
+@router.delete("/categories/{category_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None, response_class=Response)
 def delete_category(
     category_id: str,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
@@ -319,3 +388,22 @@ def delete_category(
     if not deleted:
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Category not found")
     return Response(status_code=204)
+
+
+# ── Tags ──
+
+
+@router.get("/tags/list", response_model=ListTagsResponse)
+def list_tags(
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    template_repository: SQLAlchemyTemplateRepository = Depends(_get_template_repository),
+) -> ListTagsResponse:
+    """获取用户所有模板标签（去重排序）"""
+    user_id = authenticated_user.user.id
+    try:
+        use_case = ListTagsUseCase(template_repository)
+        tags = use_case.execute(user_id)
+    except Exception:
+        logger.exception("list_tags 查询失败: user_id=%s", user_id)
+        return ListTagsResponse(items=[])
+    return ListTagsResponse(items=tags)

apps/api/app/api/routes/titles.py

@@ -4,6 +4,7 @@ from __future__ import annotations
 
 from typing import Optional
 
+from app.api.routes._helpers import get_user_plan
 from app.auth import AuthenticatedUser, get_current_user
 from app.dependencies import get_db_session, get_user_repository
 from app.schemas.title_library import (
@@ -16,20 +17,23 @@ from fastapi import APIRouter, Depends, HTTPException, Query, Response, status
 from sqlalchemy.orm import Session
 
 from packages.adapters.sqlalchemy_impl.title_library_repository import SQLAlchemyTitleLibraryRepository
-from packages.application.title_library.commands import CreateTitleLibraryCommand, UpdateTitleLibraryCommand
+from packages.application.title_library.commands import (
+    CreateTitleLibraryCommand,
+    PickTitleCommand,
+    UpdateTitleLibraryCommand,
+)
 from packages.application.title_library.use_cases import (
     CreateTitleLibraryUseCase,
     DeleteTitleLibraryUseCase,
     GetTitleLibraryUseCase,
     ListTitleLibraryUseCase,
     NotFoundError,
+    PickTitleUseCase,
     QuotaExceededError,
     UpdateTitleLibraryUseCase,
 )
 from packages.ports.user_repository import UserRepository
 
-from app.api.routes._helpers import get_user_plan
-
 router = APIRouter()
 
 
@@ -71,6 +75,41 @@ def list_titles(
     )
 
 
+@router.post("/pick", response_model=TitleLibraryItemResponse)
+def pick_title(
+    category: Optional[str] = Query(None, description="按分类筛选，不填则从全部标题中选"),
+    exclude_ids: Optional[str] = Query(
+        None,
+        description="排除的标题ID（逗号分隔），用于批量生成时避免重复",
+    ),
+    authenticated_user: AuthenticatedUser = Depends(get_current_user),
+    title_repository: SQLAlchemyTitleLibraryRepository = Depends(_get_title_repository),
+) -> TitleLibraryItemResponse:
+    """智能选择一个标题。
+
+    策略：优先使用次数少的，从最少的前5个中随机选一个，兼顾公平和多样性。
+    """
+    user_id = authenticated_user.user.id
+    exclude_list: list[str] = []
+    if exclude_ids:
+        exclude_list = [t.strip() for t in exclude_ids.split(",") if t.strip()]
+
+    use_case = PickTitleUseCase(title_repository)
+    item = use_case.execute(
+        PickTitleCommand(
+            user_id=user_id,
+            category=category,
+            exclude_ids=exclude_list,
+        )
+    )
+    if item is None:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND,
+            detail="标题库为空，请先添加标题",
+        )
+    return _to_response(item)
+
+
 @router.get("/{title_id}", response_model=TitleLibraryItemResponse)
 def get_title(
     title_id: str,
@@ -138,7 +177,7 @@ def update_title(
     return _to_response(item)
 
 
-@router.delete("/{title_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None)
+@router.delete("/{title_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None, response_class=Response)
 def delete_title(
     title_id: str,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
@@ -149,4 +188,4 @@ def delete_title(
     deleted = use_case.execute(title_id, user_id)
     if not deleted:
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Title not found")
-    return Response(status_code=204)
+    return

apps/api/app/api/routes/tts.py

@@ -46,6 +46,7 @@ from packages.application.voice_library.use_cases import (
     CreateVoiceLibraryUseCase,
     QuotaExceededError,
 )
+from packages.domain.voice_presets import list_voices
 from packages.ports.user_repository import UserRepository
 
 logger = logging.getLogger(__name__)
@@ -53,6 +54,34 @@ logger = logging.getLogger(__name__)
 router = APIRouter()
 
 
+@router.get("/presets", summary="获取预设音色列表")
+def list_preset_voices(
+    gender: Optional[str] = Query(None, description="按性别筛选: male/female/child"),
+    style: Optional[str] = Query(None, description="按风格筛选: stable/lively/customer_service/narration/news/story"),
+    keyword: Optional[str] = Query(None, description="按关键词搜索"),
+    _user: AuthenticatedUser = Depends(get_current_user),
+) -> list[dict]:
+    """获取可用的预设音色列表。
+
+    用于配音功能的音色选择。
+    """
+    voices = list_voices(gender=gender, style=style, keyword=keyword)
+    return [
+        {
+            "voice_id": v.voice_id,
+            "name": v.name,
+            "gender": v.gender.value,
+            "style": v.style.value,
+            "description": v.description,
+            "default_speed": v.default_speed,
+            "default_pitch": v.default_pitch,
+            "sample_rate": v.sample_rate,
+            "language": v.language,
+        }
+        for v in voices
+    ]
+
+
 def _get_repository(session: Session = Depends(get_db_session)) -> SQLAlchemyTTSJobRepository:
     return SQLAlchemyTTSJobRepository(session)
 
@@ -241,7 +270,7 @@ def get_tts_job_status(
     )
 
 
-@router.delete("/jobs/{job_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None)
+@router.delete("/jobs/{job_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None, response_class=Response)
 def delete_tts_job(
     job_id: str,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
@@ -253,7 +282,7 @@ def delete_tts_job(
     deleted = use_case.execute(job_id, user_id)
     if not deleted:
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="TTS job not found")
-    return Response(status_code=204)
+    return
 
 
 @router.post(
@@ -372,10 +401,10 @@ async def tts_websocket_stream(
         streaming_service = TTSStreamingService(cosyvoice_service)
         await streaming_service.synthesize_and_stream(websocket, params)
     except WebSocketDisconnect:
-        logger.info("WebSocket 客户端断开连接")
+        logger.info("WebSocket 客户端主动断开连接")
     except Exception as e:
         logger.error(f"WebSocket 流式合成异常: {e}", exc_info=True)
         try:
             await websocket.send_json({"type": "error", "message": f"服务异常: {e}"})
-        except Exception:
-            pass
+        except Exception as send_err:
+            logger.warning("WebSocket 错误消息发送失败（连接可能已断开）: %s", send_err)

apps/api/app/api/routes/upload.py

@@ -2,6 +2,7 @@ import logging
 from typing import Any
 from uuid import uuid4
 
+from app.api.routes._helpers import require_project_and_library
 from app.auth import AuthenticatedUser, get_current_user
 from app.config import get_settings
 from app.core.celery_app import celery_app
@@ -23,8 +24,6 @@ from fastapi import APIRouter, Depends, File, Form, HTTPException, UploadFile, s
 
 from packages.application import SubmitIngestJobCommand, SubmitIngestJobUseCase
 
-from app.api.routes._helpers import require_project_and_library
-
 logger = logging.getLogger(__name__)
 
 router = APIRouter()

apps/api/app/api/routes/videos.py

@@ -0,0 +1,179 @@
+import logging
+import uuid
+
+from app.api.routes._helpers import check_project_access
+from app.auth import AuthenticatedUser, get_current_user
+from app.core.celery_app import celery_app
+from app.core.storage import OSSStorageService, get_storage_service
+from app.dependencies import get_generated_video_repository
+from app.schemas.video_center import (
+    BatchDownloadRequest,
+    BatchDownloadResponse,
+    ListVideosResponse,
+    UpdateVideoReviewRequest,
+    VideoItemResponse,
+)
+from fastapi import APIRouter, Depends, HTTPException, Query
+
+from packages.application import (
+    GetGeneratedVideoUseCase,
+    GetVideosByIdsUseCase,
+    ListGeneratedVideosPaginatedUseCase,
+    UpdateVideoReviewStatusUseCase,
+)
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter()
+
+
+def _to_video_response(item, storage: OSSStorageService | None = None) -> VideoItemResponse:
+    download_url = None
+    if storage and item.file_url:
+        try:
+            download_url = storage.get_download_url(item.file_url)
+        except Exception:
+            download_url = item.file_url
+    return VideoItemResponse(
+        id=item.id,
+        project_id=item.project_id,
+        generation_task_id=item.generation_task_id,
+        name=item.name,
+        file_url=item.file_url,
+        file_size=item.file_size,
+        duration=item.duration,
+        thumbnail_url=item.thumbnail_url,
+        width=item.width,
+        height=item.height,
+        fps=item.fps,
+        status=item.status,
+        review_status=item.review_status,
+        generation_params=item.generation_params,
+        download_url=download_url,
+        generated_at=item.generated_at.isoformat() if hasattr(item, "generated_at") and item.generated_at else "",
+    )
+
+
+@router.get("/videos", response_model=ListVideosResponse)
+def list_videos(
+    project_id: str | None = Query(None, description="项目ID，不传则返回所有项目"),
+    status: str | None = Query(None, description="按状态筛选"),
+    review_status: str | None = Query(None, description="按复核状态筛选"),
+    page: int = Query(1, ge=1, description="页码"),
+    page_size: int = Query(20, ge=1, le=100, description="每页数量"),
+    repo=Depends(get_generated_video_repository),
+    storage: OSSStorageService = Depends(get_storage_service),
+    current_user: AuthenticatedUser = Depends(get_current_user),
+):
+    """成片列表，支持分页、按项目/状态/复核状态筛选。"""
+    use_case = ListGeneratedVideosPaginatedUseCase(repo)
+    items, total = use_case.execute(
+        project_id=project_id,
+        status=status,
+        review_status=review_status,
+        page=page,
+        page_size=page_size,
+    )
+    return ListVideosResponse(
+        items=[_to_video_response(item, storage) for item in items],
+        total=total,
+        page=page,
+        page_size=page_size,
+    )
+
+
+@router.get("/videos/{video_id}", response_model=VideoItemResponse)
+def get_video(
+    video_id: str,
+    repo=Depends(get_generated_video_repository),
+    storage: OSSStorageService = Depends(get_storage_service),
+    current_user: AuthenticatedUser = Depends(get_current_user),
+):
+    """获取单个成片详情。"""
+    use_case = GetGeneratedVideoUseCase(repo)
+    item = use_case.execute(video_id)
+    if item is None:
+        raise HTTPException(status_code=404, detail="Video not found")
+    return _to_video_response(item, storage)
+
+
+@router.patch("/videos/{video_id}/review", response_model=VideoItemResponse)
+def update_video_review_status(
+    video_id: str,
+    request: UpdateVideoReviewRequest,
+    repo=Depends(get_generated_video_repository),
+    storage: OSSStorageService = Depends(get_storage_service),
+    current_user: AuthenticatedUser = Depends(get_current_user),
+):
+    """更新成片复核状态：pending_review / approved / rejected。"""
+    use_case = UpdateVideoReviewStatusUseCase(repo)
+    item = use_case.execute(video_id, request.review_status)
+    if item is None:
+        raise HTTPException(status_code=404, detail="Video not found")
+    logger.info("Video %s review status updated to %s by user %s", video_id, request.review_status, current_user.user_id)
+    return _to_video_response(item, storage)
+
+
+@router.post("/videos/batch-download", response_model=BatchDownloadResponse)
+def batch_download_videos(
+    request: BatchDownloadRequest,
+    repo=Depends(get_generated_video_repository),
+    current_user: AuthenticatedUser = Depends(get_current_user),
+):
+    """批量下载成片，异步打包 zip。
+    
+    传入 video_ids 列表，创建一个批量下载任务，任务完成后返回 zip 下载链接。
+    """
+    if not request.video_ids:
+        raise HTTPException(status_code=400, detail="video_ids cannot be empty")
+    if len(request.video_ids) > 50:
+        raise HTTPException(status_code=400, detail="Maximum 50 videos per batch download")
+
+    # 校验视频都存在
+    use_case = GetVideosByIdsUseCase(repo)
+    videos = use_case.execute(request.video_ids)
+    if len(videos) != len(request.video_ids):
+        raise HTTPException(status_code=404, detail="Some videos not found")
+
+    # 发送 celery 任务
+    task = celery_app.send_task(
+        "worker.batch_download_videos",
+        args=[request.video_ids, current_user.user_id],
+    )
+
+    logger.info("Batch download job created: %s, videos=%d", task.id, len(request.video_ids))
+    return BatchDownloadResponse(job_id=task.id, status="pending")
+
+
+@router.get("/videos/batch-download/{job_id}", response_model=BatchDownloadResponse)
+def get_batch_download_status(
+    job_id: str,
+    current_user: AuthenticatedUser = Depends(get_current_user),
+):
+    """查询批量下载任务状态。"""
+    from celery.result import AsyncResult
+
+    task = AsyncResult(job_id, app=celery_app)
+    
+    status_map = {
+        "PENDING": "pending",
+        "STARTED": "running",
+        "SUCCESS": "success",
+        "FAILURE": "failed",
+        "RETRY": "pending",
+        "REVOKED": "cancelled",
+    }
+    api_status = status_map.get(task.state, "pending")
+
+    download_url = None
+    if task.state == "SUCCESS" and task.result:
+        if isinstance(task.result, dict):
+            download_url = task.result.get("download_url")
+        elif isinstance(task.result, str):
+            download_url = task.result
+
+    return BatchDownloadResponse(
+        job_id=job_id,
+        status=api_status,
+        download_url=download_url,
+    )

apps/api/app/api/routes/voice_clones.py

@@ -172,6 +172,7 @@ def get_voice_clone_status(
     "/{clone_id}",
     status_code=status.HTTP_204_NO_CONTENT,
     response_model=None,
+    response_class=Response,
 )
 def delete_voice_clone(
     clone_id: str,
@@ -184,7 +185,7 @@ def delete_voice_clone(
     deleted = use_case.execute(clone_id, user_id)
     if not deleted:
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Voice clone not found")
-    return Response(status_code=204)
+    return
 
 
 @router.post("/{clone_id}/retry", response_model=VoiceCloneProfileResponse)

apps/api/app/api/routes/voices.py

@@ -7,6 +7,7 @@ from __future__ import annotations
 
 from typing import Literal, Optional
 
+from app.api.routes._helpers import get_user_plan
 from app.auth import AuthenticatedUser, get_current_user
 from app.dependencies import get_audio_url_signer, get_db_session, get_user_repository
 from app.schemas.voice import (
@@ -39,8 +40,6 @@ from packages.application.voice_library.use_cases import (
 from packages.domain.preset_voices import PRESET_VOICES
 from packages.ports.user_repository import UserRepository
 
-from app.api.routes._helpers import get_user_plan
-
 router = APIRouter()
 
 
@@ -323,7 +322,7 @@ def update_voice(
     return _to_response(item, sign_url)
 
 
-@router.delete("/{voice_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None)
+@router.delete("/{voice_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None, response_class=Response)
 def delete_voice(
     voice_id: str,
     authenticated_user: AuthenticatedUser = Depends(get_current_user),
@@ -334,4 +333,4 @@ def delete_voice(
     deleted = use_case.execute(voice_id, user_id)
     if not deleted:
         raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Voice not found")
-    return Response(status_code=204)
+    return

apps/api/app/config.py

@@ -19,7 +19,6 @@ class Settings(BaseSettings):
     # Container bind address; external expose is controlled by Docker/Nginx.
     API_HOST: str = "0.0.0.0"  # nosec: B104
     API_PORT: int = 8000
-    API_PREFIX: str = "/api/v1"
 
     DATABASE_URL: str = "postgresql+psycopg://postgres:postgres@localhost:5432/xiaoxia_saas"
     DATABASE_POOL_SIZE: int = 20
@@ -30,16 +29,10 @@ class Settings(BaseSettings):
     AUTO_CREATE_SCHEMA: bool = False
 
     REDIS_URL: str = "redis://localhost:6379/0"
-    REDIS_MAX_CONNECTION: int = 50
     ENABLE_REDIS_SESSIONS: bool = False
 
     # JWT secret key - MUST be set via environment variable, no default allowed
     JWT_SECRET_KEY: Optional[str] = None
-    # 旧的 JWT secret key（用于密钥轮换期间验证旧 token）
-    # 在密钥轮换时，先设置新密钥，旧密钥保留在此处直到所有旧 token 过期
-    JWT_SECRET_KEY_OLD: Optional[str] = None
-    # 密钥轮换天数（到达此天数后建议更换密钥）
-    SECRET_ROTATION_DAYS: int = 90
 
     # JWT 算法与过期时间（与 .env.example 对齐）
     JWT_ALGORITHM: str = "HS256"
@@ -111,7 +104,6 @@ class Settings(BaseSettings):
     )
     OSS_DIRECT_UPLOAD_EXPIRE_SECONDS: int = 900
 
-    LOG_LEVEL: str = "INFO"
     CORS_ORIGINS_RAW: str = "http://localhost:3000,http://localhost:5173,http://localhost:8000"
 
     # 渲染引擎选择：legacy=旧VideoComposeService，unified=新UnifiedRenderService

apps/api/app/core/storage.py

@@ -1,283 +1,14 @@
-"""阿里云 OSS 存储服务"""
+"""Backward-compatible re-export from shared storage.
 
-import base64
-import datetime as dt
-import hashlib
-import hmac
-import json
-import logging
-import os
-from urllib.parse import urlparse
+All storage logic now lives in ``packages.shared.storage``.
+This module keeps old import paths working so existing code
+does not need to change.
+"""
 
-try:
-    import oss2
-except ImportError:  # pragma: no cover - exercised in minimal local/test environments
-    oss2 = None
-from app.config import get_settings
+from packages.shared.storage import SharedStorageService as OSSStorageService
+from packages.shared.storage import (
+    get_shared_storage_service,
+    get_storage_service,
+)
 
-logger = logging.getLogger(__name__)
-
-
-class OSSStorageService:
-    """阿里云 OSS 存储服务"""
-
-    def __init__(self):
-        settings = get_settings()
-        self.bucket_name = settings.OSS_BUCKET_NAME
-        self.public_url = f"https://{settings.OSS_BUCKET_NAME}.{settings.OSS_ENDPOINT}"
-        self.local_url_prefix = os.getenv("GENERATED_FILES_URL_PREFIX", "/generated-files")
-        self.bucket = None
-
-        has_key_id = bool(settings.OSS_ACCESS_KEY_ID)
-        has_key_secret = bool(settings.OSS_ACCESS_KEY_SECRET)
-
-        if has_key_id and has_key_secret:
-            if oss2 is not None:
-                try:
-                    # P0-2 修复：oss2.Bucket 的 endpoint 必须带 https:// 前缀，
-                    # 否则 sign_url 默认生成 HTTP URL。
-                    bucket_endpoint = settings.OSS_ENDPOINT
-                    if not bucket_endpoint.startswith(("http://", "https://")):
-                        bucket_endpoint = f"https://{bucket_endpoint}"
-                    auth = oss2.Auth(
-                        settings.OSS_ACCESS_KEY_ID,
-                        settings.OSS_ACCESS_KEY_SECRET,
-                    )
-                    self.bucket = oss2.Bucket(
-                        auth,
-                        bucket_endpoint,
-                        settings.OSS_BUCKET_NAME,
-                    )
-                    logger.info(
-                        "OSS initialized: endpoint=%s bucket=%s",
-                        settings.OSS_ENDPOINT,
-                        settings.OSS_BUCKET_NAME,
-                    )
-                except Exception as error:
-                    logger.error("Failed to initialize OSS bucket client: %s", error)
-            else:
-                logger.error("oss2 SDK is not installed — OSS operations will fail")
-        else:
-            missing = []
-            if not has_key_id:
-                missing.append("OSS_ACCESS_KEY_ID")
-            if not has_key_secret:
-                missing.append("OSS_ACCESS_KEY_SECRET")
-            logger.error("OSS credentials not configured — missing: %s", ", ".join(missing))
-
-        self.access_key_id = settings.OSS_ACCESS_KEY_ID
-        self.access_key_secret = settings.OSS_ACCESS_KEY_SECRET
-        self.endpoint = settings.OSS_ENDPOINT
-
-    def diagnose(self) -> None:
-        """启动诊断：输出 OSS 配置状态，帮助排查预签名 URL 问题。"""
-        key_id_display = (
-            f"{self.access_key_id[:4]}...{self.access_key_id[-4:]}" if len(self.access_key_id) > 8 else "(empty)"
-        )
-        logger.info(
-            "[OSS诊断] endpoint=%s bucket_name=%s access_key_id=%s",
-            self.endpoint,
-            self.bucket_name,
-            key_id_display,
-        )
-        if self.bucket is None:
-            logger.error(
-                "[OSS诊断] ❌ bucket=None — 预签名URL不可用！"
-                "原因: OSS_ACCESS_KEY_ID/OSS_ACCESS_KEY_SECRET 未配置或 oss2 未安装。"
-                "请检查服务器 .env 文件（如 /var/lib/xiaoxia-saas-staging/.env）"
-            )
-        else:
-            logger.info("[OSS诊断] ✅ bucket 已配置，预签名URL可用")
-
-    def _is_local_generated_url(self, storage_key_or_url: str) -> bool:
-        parsed = urlparse(storage_key_or_url)
-        path = parsed.path if parsed.scheme else storage_key_or_url
-        return path.startswith(f"{self.local_url_prefix}/")
-
-    def create_direct_upload_post(
-        self,
-        storage_key: str,
-        content_type: str,
-        max_size_bytes: int,
-        expires_seconds: int,
-    ) -> dict[str, object]:
-        """创建浏览器直传 OSS 的 PostObject 表单。"""
-        if not self.access_key_id or not self.access_key_secret:
-            raise RuntimeError("OSS storage is not configured")
-        normalized_key = self._normalize_storage_key(storage_key)
-        if not normalized_key.startswith("uploads/"):
-            raise ValueError("direct upload key must be under uploads/")
-
-        expiration = (dt.datetime.now(dt.timezone.utc) + dt.timedelta(seconds=expires_seconds)).strftime(
-            "%Y-%m-%dT%H:%M:%S.000Z"
-        )
-        policy = {
-            "expiration": expiration,
-            "conditions": [
-                {"bucket": self.bucket_name},
-                {"key": normalized_key},
-                ["content-length-range", 1, max_size_bytes],
-                ["starts-with", "$Content-Type", content_type.split("/", 1)[0] + "/" if "/" in content_type else ""],
-            ],
-        }
-        encoded_policy = base64.b64encode(json.dumps(policy, separators=(",", ":")).encode("utf-8")).decode("ascii")
-        signature = base64.b64encode(
-            hmac.new(self.access_key_secret.encode("utf-8"), encoded_policy.encode("utf-8"), hashlib.sha1).digest()
-        ).decode("ascii")
-
-        return {
-            "url": self.public_url,
-            "method": "POST",
-            "storage_key": normalized_key,
-            "expires_at": expiration,
-            "fields": {
-                "key": normalized_key,
-                "OSSAccessKeyId": self.access_key_id,
-                "policy": encoded_policy,
-                "Signature": signature,
-                "success_action_status": "201",
-                "Content-Type": content_type,
-            },
-        }
-
-    def upload_file(
-        self,
-        file_or_path,
-        storage_key: str,
-        content_type: str = "application/octet-stream",
-    ) -> str:
-        """
-        上传文件到 OSS
-
-        Args:
-            file_or_path: 文件对象或本地文件路径
-            storage_key: 存储键（文件路径）
-            content_type: 内容类型
-
-        Returns:
-            文件公网 URL
-        """
-        if self.bucket is None:
-            raise RuntimeError("OSS storage is not configured")
-
-        try:
-            # 如果是字符串路径，从本地文件上传
-            if isinstance(file_or_path, str):
-                self.bucket.put_object_from_file(storage_key, file_or_path, headers={"Content-Type": content_type})
-            else:
-                # 文件对象
-                file_or_path.seek(0)
-                self.bucket.put_object(storage_key, file_or_path, headers={"Content-Type": content_type})
-
-            return f"{self.public_url}/{storage_key}"
-        except Exception as e:
-            raise Exception(f"Failed to upload file to OSS: {e}")
-
-    def get_url(self, storage_key: str) -> str:
-        """获取文件公网 URL"""
-        return f"{self.public_url}/{storage_key}"
-
-    def get_download_url(self, storage_key_or_url: str, expires_seconds: int = 3600) -> str:
-        """
-        获取文件下载签名 URL（用于私有文件）
-
-        Args:
-            storage_key_or_url: 存储键或完整 URL
-            expires_seconds: 过期时间（秒）
-
-        Returns:
-            签名 URL
-        """
-        if self.bucket is None:
-            if self._is_local_generated_url(storage_key_or_url):
-                return storage_key_or_url
-            logger.warning(
-                "get_download_url: OSS bucket not configured, returning raw URL. " "storage_key_or_url=%s",
-                storage_key_or_url[:200],
-            )
-            return self.get_url(self._normalize_storage_key(storage_key_or_url))
-
-        storage_key = self._normalize_storage_key(storage_key_or_url)
-        try:
-            signed = self.bucket.sign_url("GET", storage_key, expires_seconds)
-            logger.info(
-                "get_download_url: signed URL generated. storage_key=%s url_prefix=%s",
-                storage_key[:80],
-                signed[:60],
-            )
-            return signed
-        except Exception:
-            logger.exception(
-                "get_download_url: sign_url failed, falling back to raw URL. " "storage_key=%s",
-                storage_key[:200],
-            )
-            return self.get_url(storage_key)
-
-    def _normalize_storage_key(self, storage_key_or_url: str) -> str:
-        """从 URL 中提取存储键"""
-        if storage_key_or_url.startswith("http://") or storage_key_or_url.startswith("https://"):
-            parsed = urlparse(storage_key_or_url)
-            # 移除开头的 /
-            return parsed.path.lstrip("/")
-        return storage_key_or_url.lstrip("/")
-
-    def download_file(self, storage_key: str, local_path: str):
-        """
-        从 OSS 下载文件到本地
-
-        Args:
-            storage_key: 存储键
-            local_path: 本地文件路径
-        """
-        if self.bucket is None:
-            raise RuntimeError("OSS storage is not configured")
-
-        try:
-            os.makedirs(os.path.dirname(local_path), exist_ok=True)
-            self.bucket.get_object_to_file(storage_key, local_path)
-        except Exception as e:
-            raise Exception(f"Failed to download file from OSS: {e}")
-
-    def delete_file(self, storage_key: str):
-        """
-        删除 OSS 文件
-
-        Args:
-            storage_key: 存储键
-        """
-        if self.bucket is None:
-            return
-
-        try:
-            self.bucket.delete_object(storage_key)
-        except Exception as error:
-            logger.warning(
-                "Failed to delete file from OSS",
-                extra={"storage_key": storage_key, "error": str(error)},
-            )
-
-    def file_exists(self, storage_key: str) -> bool:
-        """
-        检查文件是否存在
-
-        Args:
-            storage_key: 存储键
-
-        Returns:
-            是否存在
-        """
-        if self.bucket is None:
-            return False
-        return self.bucket.object_exists(storage_key)
-
-
-_storage_service = None
-
-
-def get_storage_service() -> OSSStorageService:
-    """获取存储服务实例（全局单例）"""
-    global _storage_service
-    if _storage_service is None:
-        _storage_service = OSSStorageService()
-        _storage_service.diagnose()
-    return _storage_service
+__all__ = ["OSSStorageService", "get_storage_service", "get_shared_storage_service"]

apps/api/app/middleware/auth.py

@@ -7,12 +7,16 @@ common auth dependencies for backward compatibility.
 
 from __future__ import annotations
 
+import logging
+
 from app.auth import AuthenticatedUser
 from app.auth import get_current_user as get_authenticated_user
 from app.dependencies import get_user_repository
 from fastapi import Depends, HTTPException
 from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
 
+logger = logging.getLogger(__name__)
+
 from packages.domain.entities import User
 from packages.ports.user_repository import UserRepository
 
@@ -33,6 +37,10 @@ async def get_current_user_optional(
         return None
     try:
         authenticated_user = await get_authenticated_user(credentials, user_repository)
-    except HTTPException:
+    except HTTPException as exc:
+        if exc.status_code >= 500:
+            # 服务端错误不应被静默吞掉，记录日志
+            logger.error("可选认证遇到服务端错误，status=%s", exc.status_code, exc_info=True)
+        # 4xx 认证失败（如 token 无效、用户不存在）属于正常流程，返回 None
         return None
     return authenticated_user.user

apps/api/app/schemas/asset.py

@@ -54,17 +54,45 @@ class AssetResponse(BaseModel):
     tag_ids: list[str] = Field(default_factory=list)
 
 
+MAX_BATCH_SIZE = 200
+
+
 class BatchDeleteRequest(BaseModel):
-    """批量删除请求。"""
+    """批量删除请求（软删除）。"""
 
-    ids: list[str] = Field(..., min_length=1, max_length=100, description="要删除的素材 ID 列表")
+    asset_ids: list[str] = Field(..., min_length=1, max_length=MAX_BATCH_SIZE, description="要删除的素材 ID 列表")
 
 
-class BatchDeleteResponse(BaseModel):
-    """批量删除响应。"""
+class BatchOperationResponse(BaseModel):
+    """批量操作通用响应。"""
 
-    deleted_count: int = Field(..., ge=0, description="实际删除数量")
-    failed_ids: list[str] = Field(default_factory=list, description="删除失败的 ID 列表")
+    success_count: int = Field(..., ge=0, description="成功数量")
+    failed_ids: list[str] = Field(default_factory=list, description="失败的 ID 列表")
+    failed_details: dict[str, str] = Field(default_factory=dict, description="失败详情 {asset_id: reason}")
+
+
+class BatchTagRequest(BaseModel):
+    """批量打标签请求。"""
+
+    asset_ids: list[str] = Field(..., min_length=1, max_length=MAX_BATCH_SIZE, description="素材 ID 列表")
+    tag_ids: list[str] = Field(..., min_length=1, max_length=50, description="标签 ID 列表")
+    mode: str = Field(default="add", pattern="^(add|replace)$", description="add=添加合并，replace=全量替换")
+
+
+class BatchClassifyRequest(BaseModel):
+    """批量修改分类请求。"""
+
+    asset_ids: list[str] = Field(..., min_length=1, max_length=MAX_BATCH_SIZE, description="素材 ID 列表")
+    category: str = Field(..., min_length=1, max_length=50, description="内容分类，如 person/scenic/product")
+
+
+class BatchMarkRequest(BaseModel):
+    """批量设置智能视图标记请求。"""
+
+    asset_ids: list[str] = Field(..., min_length=1, max_length=MAX_BATCH_SIZE, description="素材 ID 列表")
+    smart_view: str = Field(
+        ..., pattern="^(recommended|caution|high_risk)$", description="智能视图标记：recommended/caution/high_risk"
+    )
 
 
 class ListAssetsResponse(BaseModel):

apps/api/app/schemas/generation_task.py

@@ -33,6 +33,17 @@ class CreateGenerationTaskRequest(BaseModel):
     asset_select_count: int = Field(
         default=0, ge=0, le=100, description="选取数量，0表示全部（仅 random/smart 模式有效）"
     )
+    # ── 自动重试 ──
+    auto_retry_enabled: bool = Field(
+        default=False,
+        description="是否开启失败自动重试，默认关闭",
+    )
+    auto_retry_max: int = Field(
+        default=0,
+        ge=0,
+        le=5,
+        description="最大自动重试次数，0表示不自动重试，最大5次",
+    )
 
     @model_validator(mode="after")
     def _check_at_least_one_mode(self) -> "CreateGenerationTaskRequest":
@@ -64,6 +75,10 @@ class GenerationTaskResponse(BaseModel):
     progress: float
     result_count: int
     error_message: str
+    error_info: dict = Field(default_factory=dict)
+    retry_count: int = 0
+    auto_retry_enabled: bool = False
+    auto_retry_max: int = 0
     logs: list[dict] = Field(default_factory=list)
 
     @field_validator("logs", mode="before")

apps/api/app/schemas/task_center.py

@@ -11,8 +11,10 @@ class ProjectTaskResponse(BaseModel):
     progress: float
     current_step: str
     error_message: str = ""
+    error_info: dict = Field(default_factory=dict)
     user_message: str = ""
     retryable: bool = False
+    retry_count: int = 0
     source_id: str = ""
     template_id: str = ""
     created_at: datetime | None = None
@@ -21,6 +23,7 @@ class ProjectTaskResponse(BaseModel):
 
 class ListProjectTasksResponse(BaseModel):
     items: list[ProjectTaskResponse] = Field(default_factory=list)
+    total: int = 0
 
 
 class UserTaskResponse(BaseModel):
@@ -34,8 +37,10 @@ class UserTaskResponse(BaseModel):
     progress: float
     current_step: str
     error_message: str = ""
+    error_info: dict = Field(default_factory=dict)
     user_message: str = ""
     retryable: bool = False
+    retry_count: int = 0
     source_id: str = ""
     created_at: datetime | None = None
     updated_at: datetime | None = None
@@ -45,3 +50,4 @@ class ListTasksResponse(BaseModel):
     """用户级任务列表响应（GET /api/v1/tasks）。"""
 
     items: list[UserTaskResponse] = Field(default_factory=list)
+    total: int = 0

apps/api/app/schemas/template.py

@@ -45,6 +45,7 @@ class TemplateResponse(BaseModel):
     segments: List[SegmentResponse] = Field(default_factory=list)
     is_active: bool = True
     is_favorite: bool = False
+    usage_count: int = 0
     created_at: datetime
     updated_at: datetime
 
@@ -120,3 +121,25 @@ class CreateCategoryRequest(BaseModel):
 
 class ListCategoriesResponse(BaseModel):
     items: List[CategoryResponse]
+
+
+# ── Copy Template ──
+
+
+class CopyTemplateRequest(BaseModel):
+    new_name: str
+
+
+# ── Tags ──
+
+
+class ListTagsResponse(BaseModel):
+    items: List[str]
+
+
+# ── Usage Stats ──
+
+
+class TemplateUsageResponse(BaseModel):
+    template_id: str
+    usage_count: int

apps/api/app/schemas/video_center.py

@@ -0,0 +1,45 @@
+from typing import Literal
+
+from pydantic import BaseModel, Field
+
+VideoReviewStatus = Literal["pending_review", "approved", "rejected"]
+
+
+class VideoItemResponse(BaseModel):
+    id: str
+    project_id: str
+    generation_task_id: str
+    name: str
+    file_url: str
+    file_size: int
+    duration: float
+    thumbnail_url: str | None = None
+    width: int
+    height: int
+    fps: float
+    status: str = "completed"
+    review_status: str = "pending_review"
+    generation_params: dict = Field(default_factory=dict)
+    download_url: str | None = None
+    generated_at: str = ""
+
+
+class ListVideosResponse(BaseModel):
+    items: list[VideoItemResponse]
+    total: int
+    page: int
+    page_size: int
+
+
+class UpdateVideoReviewRequest(BaseModel):
+    review_status: VideoReviewStatus
+
+
+class BatchDownloadRequest(BaseModel):
+    video_ids: list[str]
+
+
+class BatchDownloadResponse(BaseModel):
+    job_id: str
+    status: str = "pending"
+    download_url: str | None = None

apps/api/app/services/edit_plan_service.py

@@ -281,6 +281,8 @@ class EditPlanService:
         start_time: float = 0.0,
         duration: float = 0.0,
         transition_effect: str = "cut",
+        transition_duration: float = 0.0,
+        playback_speed: float = 1.0,
         config: Optional[dict[str, Any]] = None,
     ) -> EditPlanClip:
         """创建片段
@@ -301,6 +303,8 @@ class EditPlanService:
             start_time=start_time,
             duration=duration,
             transition_effect=transition_effect,
+            transition_duration=transition_duration,
+            playback_speed=playback_speed,
             config=config,
         )
         created = self._clip_repo.create(clip)
@@ -324,6 +328,8 @@ class EditPlanService:
         start_time: Optional[float] = None,
         duration: Optional[float] = None,
         transition_effect: Optional[str] = None,
+        transition_duration: Optional[float] = None,
+        playback_speed: Optional[float] = None,
         config: Optional[dict[str, Any]] = None,
     ) -> EditPlanClip:
         """更新片段
@@ -333,6 +339,15 @@ class EditPlanService:
         """
         existing = self.get_clip_or_raise(clip_id)
 
+        # 速度边界钳制
+        if playback_speed is not None:
+            if playback_speed <= 0:
+                playback_speed = 1.0
+            elif playback_speed < 0.25:
+                playback_speed = 0.25
+            elif playback_speed > 4.0:
+                playback_speed = 4.0
+
         updated = EditPlanClip(
             id=existing.id,
             plan_id=existing.plan_id,
@@ -346,6 +361,10 @@ class EditPlanService:
             transition_effect=(
                 transition_effect.strip() if transition_effect is not None else existing.transition_effect
             ),
+            transition_duration=(
+                transition_duration if transition_duration is not None else existing.transition_duration
+            ),
+            playback_speed=playback_speed if playback_speed is not None else existing.playback_speed,
             status=existing.status,
             config=config if config is not None else existing.config,
             created_at=existing.created_at,

apps/api/app/services/job_service.py

@@ -13,7 +13,6 @@ from __future__ import annotations
 import logging
 from typing import Any
 
-
 from packages.application.jobs import (
     CancelJobUseCase,
     CompleteJobCommand,

apps/web/playwright.config.ts

@@ -26,6 +26,9 @@ export default defineConfig({
           use: {
             ...devices["Desktop Chrome"],
             channel: process.env.E2E_BROWSER_CHANNEL || "msedge",
+            launchOptions: {
+              args: ["--disable-gpu", "--disable-software-rasterizer"],
+            },
           },
         },
         {
@@ -51,6 +54,9 @@ export default defineConfig({
           use: {
             ...devices["Desktop Chrome"],
             channel: process.env.E2E_BROWSER_CHANNEL || "msedge",
+            launchOptions: {
+              args: ["--disable-gpu", "--disable-software-rasterizer"],
+            },
           },
         },
       ],

apps/web/src/api/accounts.ts

@@ -1,161 +0,0 @@
-/**
- * 账号管理 Mock API
- *
- * 模拟多平台账号绑定/解绑操作
- * 支持平台：抖音、快手、小红书、微信视频号
- */
-
-/* ── 类型定义 ───────────────────────────────────────────── */
-
-/** 平台 ID */
-export type PlatformId = "douyin" | "kuaishou" | "xiaohongshu" | "wechat";
-
-/** 账号状态 */
-export type AccountStatus = "active" | "expired" | "limited";
-
-/** 已绑定的账号 */
-export interface Account {
-  id: string;
-  platform_id: PlatformId;
-  name: string;
-  avatar?: string;
-  status: AccountStatus;
-  bound_at: string;
-}
-
-/** 平台信息 */
-export interface Platform {
-  id: PlatformId;
-  name: string;
-  subName: string;
-  icon: string;
-  gradient: string;
-}
-
-/** 绑定账号请求 */
-export interface BindAccountRequest {
-  platform_id: PlatformId;
-  name: string;
-}
-
-/* ── 平台配置 ───────────────────────────────────────────── */
-
-export const PLATFORMS: Platform[] = [
-  {
-    id: "douyin",
-    name: "抖音",
-    subName: "短视频发布平台",
-    icon: "📱",
-    gradient: "linear-gradient(135deg, #fe2c55, #25f4ee)",
-  },
-  {
-    id: "kuaishou",
-    name: "快手",
-    subName: "短视频发布平台",
-    icon: "🎬",
-    gradient: "linear-gradient(135deg, #ff4906, #ffba00)",
-  },
-  {
-    id: "xiaohongshu",
-    name: "小红书",
-    subName: "种草笔记发布平台",
-    icon: "📕",
-    gradient: "linear-gradient(135deg, #ff2442, #ff6b6b)",
-  },
-  {
-    id: "wechat",
-    name: "微信视频号",
-    subName: "视频号发布平台",
-    icon: "💬",
-    gradient: "linear-gradient(135deg, #07c160, #4cd964)",
-  },
-];
-
-/* ── Mock 数据 ───────────────────────────────────────────── */
-
-let MOCK_ACCOUNTS: Account[] = [
-  {
-    id: "acc-001",
-    platform_id: "douyin",
-    name: "小虾官方号",
-    avatar: "🦐",
-    status: "active",
-    bound_at: "2025-12-01T10:00:00Z",
-  },
-  {
-    id: "acc-002",
-    platform_id: "douyin",
-    name: "小虾日常",
-    avatar: "🐟",
-    status: "active",
-    bound_at: "2025-12-15T14:30:00Z",
-  },
-  {
-    id: "acc-003",
-    platform_id: "kuaishou",
-    name: "小虾剪辑",
-    avatar: "🎬",
-    status: "active",
-    bound_at: "2026-01-05T09:00:00Z",
-  },
-  {
-    id: "acc-004",
-    platform_id: "xiaohongshu",
-    name: "小虾种草",
-    avatar: "📕",
-    status: "limited",
-    bound_at: "2026-02-20T16:00:00Z",
-  },
-];
-
-/* ── 模拟延迟 ───────────────────────────────────────────── */
-
-const delay = (ms: number) => new Promise((r) => setTimeout(r, ms));
-
-/* ── API 函数 ───────────────────────────────────────────── */
-
-/** 获取指定平台的账号列表 */
-export async function getAccountsByPlatform(
-  platformId: PlatformId,
-): Promise<Account[]> {
-  await delay(300);
-  return MOCK_ACCOUNTS.filter((a) => a.platform_id === platformId);
-}
-
-/** 获取所有平台的账号总数 */
-export async function getAllAccounts(): Promise<Account[]> {
-  await delay(200);
-  return [...MOCK_ACCOUNTS];
-}
-
-/** 绑定新账号 */
-export async function bindAccount(data: BindAccountRequest): Promise<Account> {
-  await delay(500);
-  const newAccount: Account = {
-    id: `acc-${Date.now()}`,
-    platform_id: data.platform_id,
-    name: data.name,
-    avatar: undefined,
-    status: "active",
-    bound_at: new Date().toISOString(),
-  };
-  MOCK_ACCOUNTS = [...MOCK_ACCOUNTS, newAccount];
-  return newAccount;
-}
-
-/** 解绑账号 */
-export async function unbindAccount(accountId: string): Promise<void> {
-  await delay(400);
-  MOCK_ACCOUNTS = MOCK_ACCOUNTS.filter((a) => a.id !== accountId);
-}
-
-/* ── 状态配置 ───────────────────────────────────────────── */
-
-export const ACCOUNT_STATUS_CONFIG: Record<
-  AccountStatus,
-  { label: string; className: string }
-> = {
-  active: { label: "正常", className: "acc-status--active" },
-  expired: { label: "已过期", className: "acc-status--expired" },
-  limited: { label: "受限", className: "acc-status--limited" },
-};

apps/web/src/components/ui/Form.tsx

@@ -1,37 +0,0 @@
-/**
- * V21 Form 表单
- * 封装 Ant Design Form，应用 V21 设计系统样式
- */
-import React from "react";
-import { Form as AntForm } from "antd";
-import type { FormProps as AntFormProps } from "antd";
-import classNames from "classnames";
-import "./ui.css";
-
-export interface FormProps extends AntFormProps {
-  /** 紧凑模式（减小表单项间距） */
-  compact?: boolean;
-}
-
-const Form = ({ className, compact, children, ...rest }: FormProps) => {
-  const v21Class = classNames(
-    "xx-form",
-    compact && "xx-form-compact",
-    className,
-  );
-  return (
-    <AntForm
-      className={v21Class}
-      {...(rest as Omit<FormProps, "className" | "compact" | "children">)}
-    >
-      {children as React.ReactNode}
-    </AntForm>
-  );
-};
-
-/** 导出 Form 的子组件（保持 antd API 一致） */
-export const FormItem = AntForm.Item;
-export const FormList = AntForm.List;
-export const FormProvider = AntForm.Provider;
-
-export default Form;

apps/web/src/components/ui/Pagination.tsx

@@ -1,25 +0,0 @@
-/**
- * V21 Pagination 分页
- * 封装 Ant Design Pagination，应用 V21 设计系统样式
- */
-import React from "react";
-import { Pagination as AntPagination } from "antd";
-import type { PaginationProps as AntPaginationProps } from "antd";
-import classNames from "classnames";
-import "./ui.css";
-
-export interface PaginationProps extends AntPaginationProps {
-  /** 使用 V21 样式 */
-  v21?: boolean;
-}
-
-const Pagination: React.FC<PaginationProps> = ({
-  className,
-  v21 = true,
-  ...rest
-}) => {
-  const v21Class = classNames(v21 && "xx-pagination", className);
-  return <AntPagination className={v21Class} {...rest} />;
-};
-
-export default Pagination;

apps/web/src/components/ui/Table.tsx

@@ -1,29 +0,0 @@
-/**
- * V21 Table 表格
- * 封装 Ant Design Table，应用 V21 设计系统样式
- */
-import React from "react";
-import { Table as AntTable } from "antd";
-import type { TableProps as AntTableProps } from "antd";
-import classNames from "classnames";
-import "./ui.css";
-
-export interface TableProps<
-  RecordType = unknown,
-> extends AntTableProps<RecordType> {
-  /** 使用 V21 样式 */
-  v21?: boolean;
-}
-
-function Table<RecordType extends object = Record<string, unknown>>({
-  className,
-  v21 = true,
-  ...rest
-}: TableProps<RecordType>) {
-  const v21Class = classNames(v21 && "xx-table", className);
-  return <AntTable<RecordType> className={v21Class} {...rest} />;
-}
-
-export default Table as <RecordType extends object = Record<string, unknown>>(
-  props: TableProps<RecordType> & React.RefAttributes<HTMLDivElement>,
-) => React.ReactElement;

apps/web/src/components/ui/index.ts

@@ -15,9 +15,6 @@ export type { SelectProps } from "./Select";
 export { default as Modal } from "./Modal";
 export type { ModalProps } from "./Modal";
 
-export { default as Table } from "./Table";
-export type { TableProps } from "./Table";
-
 export { default as Card } from "./Card";
 export type { CardProps } from "./Card";
 
@@ -26,9 +23,3 @@ export type { TagProps, TagVariant } from "./Tag";
 
 export { Tooltip, Popover } from "./Tooltip";
 export type { TooltipProps, PopoverProps } from "./Tooltip";
-
-export { default as Form, FormItem, FormList, FormProvider } from "./Form";
-export type { FormProps } from "./Form";
-
-export { default as Pagination } from "./Pagination";
-export type { PaginationProps } from "./Pagination";

apps/web/src/components/ui/ui.css

@@ -258,51 +258,6 @@
   font-size: 24px !important;
 }
 
-/* ============================================================
-   Table 表格
-   ============================================================ */
-.xx-table .ant-table {
-  background: var(--bg-primary) !important;
-  color: var(--text-primary) !important;
-  border-radius: var(--radius-md) !important;
-  overflow: hidden;
-}
-
-.xx-table .ant-table-thead > tr > th {
-  background: var(--bg-secondary) !important;
-  color: var(--text-secondary) !important;
-  font-weight: var(--font-weight-semibold) !important;
-  border-bottom: 1px solid var(--border-color) !important;
-  font-size: var(--font-size-sm) !important;
-  text-transform: uppercase;
-  letter-spacing: var(--letter-spacing-wide);
-}
-
-.xx-table .ant-table-tbody > tr > td {
-  border-bottom: 1px solid var(--border-light) !important;
-  color: var(--text-primary) !important;
-  transition: var(--transition-fast) !important;
-}
-
-.xx-table .ant-table-tbody > tr:hover > td {
-  background: var(--primary-soft) !important;
-}
-
-.xx-table .ant-table-tbody > tr:last-child > td {
-  border-bottom: none !important;
-}
-
-/* 排序图标 */
-.xx-table .ant-table-column-sorter-up.active,
-.xx-table .ant-table-column-sorter-down.active {
-  color: var(--primary-color) !important;
-}
-
-/* 分页 */
-.xx-table .ant-pagination {
-  padding: var(--space-md) 0 !important;
-}
-
 /* ============================================================
    Card 卡片
    ============================================================ */
@@ -429,68 +384,6 @@
   border-bottom: 1px solid var(--border-light) !important;
 }
 
-/* ============================================================
-   Form 表单
-   ============================================================ */
-.xx-form .ant-form-item-label > label {
-  color: var(--text-primary) !important;
-  font-weight: var(--font-weight-medium) !important;
-  font-size: var(--font-size-base) !important;
-}
-
-.xx-form .ant-form-item-explain-error {
-  color: var(--error-color) !important;
-  font-size: var(--font-size-sm) !important;
-}
-
-.xx-form .ant-form-item {
-  margin-bottom: var(--space-lg) !important;
-}
-
-/* 表单项间距紧凑 */
-.xx-form-compact .ant-form-item {
-  margin-bottom: var(--space-md) !important;
-}
-
-/* ============================================================
-   Pagination 分页
-   ============================================================ */
-.xx-pagination .ant-pagination-item {
-  border-radius: var(--radius-xs) !important;
-  border-color: var(--border-color) !important;
-  transition: var(--transition-fast) !important;
-}
-
-.xx-pagination .ant-pagination-item a {
-  color: var(--text-primary) !important;
-}
-
-.xx-pagination .ant-pagination-item:hover {
-  border-color: var(--primary-color) !important;
-}
-
-.xx-pagination .ant-pagination-item:hover a {
-  color: var(--primary-color) !important;
-}
-
-.xx-pagination .ant-pagination-item-active {
-  background: var(--gradient-primary) !important;
-  border-color: transparent !important;
-}
-
-.xx-pagination .ant-pagination-item-active a {
-  color: var(--text-inverse) !important;
-}
-
-.xx-pagination .ant-pagination-prev .ant-pagination-item-link,
-.xx-pagination .ant-pagination-next .ant-pagination-item-link {
-  border-radius: var(--radius-xs) !important;
-  color: var(--text-secondary) !important;
-}
-
-.xx-pagination .ant-pagination-disabled .ant-pagination-item-link {
-  color: var(--text-disabled) !important;
-}
 
 /* ============================================================
    响应式
@@ -517,9 +410,6 @@
     padding: var(--space-md) !important;
   }
 
-  .xx-form .ant-form-item {
-    margin-bottom: var(--space-md) !important;
-  }
 }
 
 @media (max-width: 480px) {

apps/web/src/pages/accounts/Accounts.tsx

@@ -2,194 +2,62 @@
  * 账号管理页面 — V21 Design System
  *
  * 展示多平台账号绑定状态（抖音/快手/小红书/微信视频号）
- * 支持绑定/解绑操作
+ * 后端账号管理 API 尚未就绪，当前展示占位状态
  *
  * 零 antd 直接导入，全部使用 CSS 变量
  */
-import React, { useState, useCallback } from "react";
-import { useQueries, useMutation, useQueryClient } from "@tanstack/react-query";
+import React from "react";
 import { Button } from "@/components/ui";
 import PageHead from "@/components/layout/PageHead";
-import {
-  PLATFORMS,
-  getAccountsByPlatform,
-  unbindAccount,
-  bindAccount,
-  ACCOUNT_STATUS_CONFIG,
-  type Platform,
-  type Account,
-  type PlatformId,
-} from "@/api/accounts";
 import "./accounts.css";
 
-/* ── Toast 系统 ─────────────────────────────────────────── */
+/* ── 类型定义 ───────────────────────────────────────────── */
 
-interface Toast {
-  id: number;
-  message: string;
-  type: "success" | "error";
+export type PlatformId = "douyin" | "kuaishou" | "xiaohongshu" | "wechat";
+
+export interface Platform {
+  id: PlatformId;
+  name: string;
+  subName: string;
+  icon: string;
+  gradient: string;
 }
 
-let toastIdCounter = 0;
-
-/* ── 平台卡片组件 ───────────────────────────────────────── */
-
-interface PlatformCardProps {
-  platform: Platform;
-  accounts: Account[];
-  isLoading: boolean;
-  onBind: (platformId: PlatformId) => void;
-  onUnbind: (accountId: string, accountName: string) => void;
-}
-
-const PlatformCard: React.FC<PlatformCardProps> = ({
-  platform,
-  accounts,
-  isLoading,
-  onBind,
-  onUnbind,
-}) => {
-  return (
-    <div className="acc-card">
-      {/* 平台头部 */}
-      <div className="acc-card-header">
-        <div
-          className="acc-card-icon"
-          style={{ background: platform.gradient }}
-        >
-          {platform.icon}
-        </div>
-        <div>
-          <h3 className="acc-card-title">{platform.name}</h3>
-          <p className="acc-card-subtitle">{platform.subName}</p>
-        </div>
-      </div>
-
-      {/* 账号列表 */}
-      <div className="acc-account-list">
-        {isLoading ? (
-          <div className="acc-empty">
-            <p className="acc-empty-text">加载中…</p>
-          </div>
-        ) : accounts.length > 0 ? (
-          accounts.map((account) => {
-            const statusCfg = ACCOUNT_STATUS_CONFIG[account.status];
-            return (
-              <div key={account.id} className="acc-account-row">
-                <div
-                  className="acc-account-avatar"
-                  style={{ background: platform.gradient }}
-                >
-                  {account.avatar || platform.icon}
-                </div>
-                <div className="acc-account-info">
-                  <div className="acc-account-name">{account.name}</div>
-                  <span className={`acc-status-pill ${statusCfg.className}`}>
-                    {statusCfg.label}
-                  </span>
-                </div>
-                <Button
-                  buttonType="ghost"
-                  buttonSize="sm"
-                  onClick={() => onUnbind(account.id, account.name)}
-                >
-                  解绑
-                </Button>
-              </div>
-            );
-          })
-        ) : (
-          <div className="acc-empty">
-            <div className="acc-empty-icon">🔓</div>
-            <p className="acc-empty-text">暂未绑定账号</p>
-          </div>
-        )}
-      </div>
-
-      {/* 绑定按钮 */}
-      <Button buttonType="ghost" onClick={() => onBind(platform.id)}>
-        + 绑定新账号
-      </Button>
-    </div>
-  );
-};
+/** 支持的平台列表 */
+const PLATFORMS: Platform[] = [
+  {
+    id: "douyin",
+    name: "抖音",
+    subName: "短视频发布",
+    icon: "🎵",
+    gradient: "linear-gradient(135deg, #000 0%, #333 100%)",
+  },
+  {
+    id: "kuaishou",
+    name: "快手",
+    subName: "短视频发布",
+    icon: "📹",
+    gradient: "linear-gradient(135deg, #ff6600 0%, #ff9933 100%)",
+  },
+  {
+    id: "xiaohongshu",
+    name: "小红书",
+    subName: "种草笔记 + 视频",
+    icon: "📕",
+    gradient: "linear-gradient(135deg, #fe2c55 0%, #ff6680 100%)",
+  },
+  {
+    id: "wechat",
+    name: "微信视频号",
+    subName: "视频号发布",
+    icon: "💬",
+    gradient: "linear-gradient(135deg, #07c160 0%, #38d97a 100%)",
+  },
+];
 
 /* ── 主页面 ─────────────────────────────────────────────── */
 
 const Accounts: React.FC = () => {
-  const queryClient = useQueryClient();
-  const [toasts, setToasts] = useState<Toast[]>([]);
-
-  /** 显示 toast */
-  const showToast = useCallback((message: string, type: Toast["type"]) => {
-    const id = ++toastIdCounter;
-    setToasts((prev) => [...prev, { id, message, type }]);
-    setTimeout(() => {
-      setToasts((prev) => prev.filter((t) => t.id !== id));
-    }, 3000);
-  }, []);
-
-  /** 查询所有平台的账号 */
-  const _queriesResults = useQueries({
-    queries: PLATFORMS.map((platform) => ({
-      queryKey: ["accounts", platform.id] as const,
-      queryFn: () => getAccountsByPlatform(platform.id),
-    })),
-  });
-  const accountQueries = PLATFORMS.map((platform, i) => ({
-    platform,
-    ..._queriesResults[i],
-  }));
-
-  /** 解绑 mutation */
-  const unbindMutation = useMutation({
-    mutationFn: unbindAccount,
-    onSuccess: () => {
-      queryClient.invalidateQueries({ queryKey: ["accounts"] });
-      showToast("已解绑账号", "success");
-    },
-    onError: () => {
-      showToast("解绑失败", "error");
-    },
-  });
-
-  /** 绑定 mutation */
-  const bindMutation = useMutation({
-    mutationFn: bindAccount,
-    onSuccess: () => {
-      queryClient.invalidateQueries({ queryKey: ["accounts"] });
-      showToast("账号绑定成功", "success");
-    },
-    onError: () => {
-      showToast("绑定失败", "error");
-    },
-  });
-
-  /** 绑定新账号 */
-  const handleBind = (platformId: PlatformId) => {
-    const platform = PLATFORMS.find((p) => p.id === platformId);
-    if (!platform) return;
-
-    const name = window.prompt(`请输入要绑定的${platform.name}账号名称：`);
-    if (name && name.trim()) {
-      bindMutation.mutate({ platform_id: platformId, name: name.trim() });
-    }
-  };
-
-  /** 解绑账号 */
-  const handleUnbind = (accountId: string, accountName: string) => {
-    if (window.confirm(`确定解绑账号「${accountName}」吗？`)) {
-      unbindMutation.mutate(accountId);
-    }
-  };
-
-  /** 统计已绑定账号数 */
-  const totalBound = accountQueries.reduce(
-    (sum, q) => sum + (q.data?.length ?? 0),
-    0,
-  );
-  const totalPlatforms = PLATFORMS.length;
-
   return (
     <div className="acc-page">
       <PageHead
@@ -197,17 +65,34 @@ const Accounts: React.FC = () => {
         description="绑定您的社交平台账号，用于视频一键发布到各平台"
       />
 
-      {/* 平台卡片网格 */}
+      {/* 平台卡片网格 — 占位状态 */}
       <div className="acc-grid">
-        {accountQueries.map(({ platform, data, isLoading }) => (
-          <PlatformCard
-            key={platform.id}
-            platform={platform}
-            accounts={data ?? []}
-            isLoading={isLoading}
-            onBind={handleBind}
-            onUnbind={handleUnbind}
-          />
+        {PLATFORMS.map((platform) => (
+          <div key={platform.id} className="acc-card">
+            <div className="acc-card-header">
+              <div
+                className="acc-card-icon"
+                style={{ background: platform.gradient }}
+              >
+                {platform.icon}
+              </div>
+              <div>
+                <h3 className="acc-card-title">{platform.name}</h3>
+                <p className="acc-card-subtitle">{platform.subName}</p>
+              </div>
+            </div>
+
+            <div className="acc-account-list">
+              <div className="acc-empty">
+                <div className="acc-empty-icon">🔒</div>
+                <p className="acc-empty-text">功能即将上线</p>
+              </div>
+            </div>
+
+            <Button buttonType="ghost" disabled>
+              即将支持绑定
+            </Button>
+          </div>
         ))}
       </div>
 
@@ -215,22 +100,10 @@ const Accounts: React.FC = () => {
       <div className="acc-stats-bar">
         <span className="acc-stats-icon">📊</span>
         <span className="acc-stats-text">
-          已绑定 <span className="acc-stats-highlight">{totalBound}</span>{" "}
-          个账号 / 支持{" "}
-          <span className="acc-stats-highlight">{totalPlatforms}</span> 个平台
+          支持 <span className="acc-stats-highlight">{PLATFORMS.length}</span>{" "}
+          个平台，功能即将上线
         </span>
       </div>
-
-      {/* Toast 提示 */}
-      {toasts.length > 0 && (
-        <div className="vc-toast-container">
-          {toasts.map((t) => (
-            <div key={t.id} className={`vc-toast vc-toast--${t.type}`}>
-              {t.type === "success" ? "✅" : "❌"} {t.message}
-            </div>
-          ))}
-        </div>
-      )}
     </div>
   );
 };

apps/web/src/pages/accounts/accounts.css

@@ -82,77 +82,6 @@
   gap: 10px;
 }
 
-/* ── 账号行 ─────────────────────────────────────────────── */
-
-.acc-account-row {
-  display: flex;
-  align-items: center;
-  gap: 10px;
-  padding: 12px;
-  background: var(--bg-secondary);
-  border-radius: var(--radius-md);
-  transition: var(--transition-fast);
-}
-
-.acc-account-row:hover {
-  background: var(--primary-soft);
-}
-
-.acc-account-avatar {
-  width: 36px;
-  height: 36px;
-  border-radius: 50%;
-  display: grid;
-  place-items: center;
-  color: var(--text-inverse);
-  font-weight: var(--font-weight-bold);
-  font-size: var(--font-size-sm);
-  flex-shrink: 0;
-}
-
-.acc-account-info {
-  flex: 1;
-  min-width: 0;
-}
-
-.acc-account-name {
-  font-size: var(--font-size-base);
-  font-weight: var(--font-weight-semibold);
-  color: var(--text-primary);
-  white-space: nowrap;
-  overflow: hidden;
-  text-overflow: ellipsis;
-}
-
-/* ── 状态标签 ───────────────────────────────────────────── */
-
-.acc-status-pill {
-  display: inline-flex;
-  align-items: center;
-  gap: 4px;
-  padding: 2px 8px;
-  border-radius: var(--radius-full);
-  font-size: var(--font-size-xs);
-  font-weight: var(--font-weight-semibold);
-  line-height: 1.6;
-  margin-top: 2px;
-}
-
-.acc-status--active {
-  background: var(--success-soft);
-  color: var(--secondary-color);
-}
-
-.acc-status--expired {
-  background: var(--error-soft);
-  color: var(--error-color);
-}
-
-.acc-status--limited {
-  background: var(--warning-soft);
-  color: var(--accent-color);
-}
-
 /* ── 空状态 ─────────────────────────────────────────────── */
 
 .acc-empty {
@@ -235,17 +164,6 @@
     font-size: var(--font-size-base);
   }
 
-  .acc-account-row {
-    padding: 10px;
-    gap: 8px;
-  }
-
-  .acc-account-avatar {
-    width: 32px;
-    height: 32px;
-    font-size: var(--font-size-xs);
-  }
-
   .acc-stats-bar {
     padding: var(--space-sm) var(--space-md);
     font-size: var(--font-size-sm);

apps/web/src/pages/admin/Admin.css

@@ -1,442 +1,20 @@
-/* V21 Admin 页面样式 */
+/* Admin 页面样式（Phase 3 精简）
+ *
+ * 原始 477 行 → 精简至仅保留实际使用的 class。
+ * 已迁移至 global.css / ui.css 的样式不再重复定义：
+ *   .xx-page-head       → global.css
+ *   .xx-primary-btn     → global.css
+ *   .xx-tag / .xx-card  → ui.css / global.css
+ *
+ * 以下 class 仅被 AdminComingSoon.tsx 使用。
+ */
 
-/* 页面容器 */
-.dashboard-page,
-.analytics-page,
-.user-management-page,
-.log-viewer-page,
-.system-monitor-page,
 .admin-coming-soon-page {
   padding: 32px;
   max-width: 1400px;
   margin: 0 auto;
 }
 
-/* 页面头部 */
-.xx-page-head {
-  background: rgba(255, 255, 255, 0.94);
-  border: 1px solid rgba(226, 232, 240, 0.95);
-  border-radius: var(--radius-xl);
-  box-shadow: 0 24px 70px rgba(15, 23, 42, 0.09);
-  padding: 32px 40px;
-  margin-bottom: 32px;
-  display: flex;
-  justify-content: space-between;
-  align-items: center;
-}
-
-.xx-page-head-content {
-  display: flex;
-  flex-direction: column;
-  gap: 8px;
-}
-
-.xx-page-head h2 {
-  font-size: 28px;
-  font-weight: 900;
-  color: var(--slate, #0f172a);
-  margin: 0;
-  letter-spacing: -0.02em;
-}
-
-.xx-page-head p {
-  font-size: 15px;
-  color: var(--muted, #64748b);
-  margin: 0;
-}
-
-.xx-page-head-actions {
-  display: flex;
-  gap: 12px;
-  align-items: center;
-}
-
-/* 简化页面头部（无操作按钮） */
-.xx-page-head-simple {
-  background: rgba(255, 255, 255, 0.94);
-  border: 1px solid rgba(226, 232, 240, 0.95);
-  border-radius: var(--radius-xl);
-  box-shadow: 0 24px 70px rgba(15, 23, 42, 0.09);
-  padding: 32px 40px;
-  margin-bottom: 32px;
-}
-
-.xx-page-head-simple h2 {
-  font-size: 28px;
-  font-weight: 900;
-  color: var(--slate, #0f172a);
-  margin: 0 0 8px;
-  letter-spacing: -0.02em;
-}
-
-.xx-page-head-simple p {
-  font-size: 15px;
-  color: var(--muted, #64748b);
-  margin: 0;
-}
-
-/* 统计卡片网格 - 4列 */
-.xx-grid-4 {
-  display: grid;
-  grid-template-columns: repeat(4, 1fr);
-  gap: 24px;
-  margin-bottom: 32px;
-}
-
-@media (max-width: 1200px) {
-  .xx-grid-4 {
-    grid-template-columns: repeat(2, 1fr);
-  }
-}
-
-@media (max-width: 768px) {
-  .xx-grid-4 {
-    grid-template-columns: 1fr;
-  }
-}
-
-/* 统计卡片 */
-.xx-stat-card {
-  background: rgba(255, 255, 255, 0.94);
-  border: 1px solid rgba(226, 232, 240, 0.95);
-  border-radius: var(--radius-lg);
-  box-shadow: 0 10px 30px rgba(15, 23, 42, 0.06);
-  padding: 24px;
-  transition: all 0.3s;
-}
-
-.xx-stat-card:hover {
-  transform: translateY(-2px);
-  box-shadow: 0 16px 40px rgba(15, 23, 42, 0.08);
-}
-
-.xx-stat-card-header {
-  display: flex;
-  justify-content: space-between;
-  align-items: flex-start;
-  margin-bottom: 16px;
-}
-
-.xx-stat-card-icon {
-  width: 48px;
-  height: 48px;
-  border-radius: var(--radius-md);
-  display: flex;
-  align-items: center;
-  justify-content: center;
-  font-size: 22px;
-}
-
-.xx-stat-card-icon.primary {
-  background: linear-gradient(135deg, #6366f1, #4f46e5);
-  color: white;
-}
-
-.xx-stat-card-icon.success {
-  background: linear-gradient(135deg, #34d399, #10b981);
-  color: white;
-}
-
-.xx-stat-card-icon.warning {
-  background: linear-gradient(135deg, #fbbf24, #f59e0b);
-  color: white;
-}
-
-.xx-stat-card-icon.purple {
-  background: linear-gradient(135deg, #a78bfa, #8b5cf6);
-  color: white;
-}
-
-.xx-stat-card-icon.info {
-  background: linear-gradient(135deg, #60a5fa, #3b82f6);
-  color: white;
-}
-
-.xx-stat-card-icon.orange {
-  background: linear-gradient(135deg, #fb923c, #f97316);
-  color: white;
-}
-
-.xx-stat-card-label {
-  font-size: 14px;
-  color: var(--muted, #64748b);
-  font-weight: 500;
-  margin-bottom: 8px;
-}
-
-.xx-stat-card-value {
-  font-size: 32px;
-  font-weight: 900;
-  color: var(--slate, #0f172a);
-  line-height: 1.2;
-  letter-spacing: -0.02em;
-}
-
-.xx-stat-card-value.primary {
-  color: var(--indigo, #4f46e5);
-}
-
-.xx-stat-card-value.success {
-  color: var(--green, #10b981);
-}
-
-.xx-stat-card-value.warning {
-  color: var(--amber, #f59e0b);
-}
-
-.xx-stat-card-value.purple {
-  color: #8b5cf6;
-}
-
-.xx-stat-card-growth {
-  font-size: 13px;
-  color: var(--green, #10b981);
-  font-weight: 600;
-  margin-top: 8px;
-  display: flex;
-  align-items: center;
-  gap: 4px;
-}
-
-/* 数据表格 */
-.xx-table-wrapper {
-  background: rgba(255, 255, 255, 0.94);
-  border: 1px solid rgba(226, 232, 240, 0.95);
-  border-radius: var(--radius-lg);
-  box-shadow: 0 10px 30px rgba(15, 23, 42, 0.06);
-  overflow: hidden;
-}
-
-.xx-table-wrapper .ant-table {
-  background: transparent;
-}
-
-.xx-table-wrapper .ant-table-thead > tr > th {
-  background: rgba(248, 250, 252, 0.8);
-  font-weight: 800;
-  font-size: 13px;
-  color: var(--slate, #0f172a);
-  text-transform: uppercase;
-  letter-spacing: 0.05em;
-  padding: 16px 20px;
-}
-
-.xx-table-wrapper .ant-table-tbody > tr > td {
-  padding: 16px 20px;
-  font-size: 14px;
-}
-
-.xx-table-wrapper .ant-table-tbody > tr:hover > td {
-  background: rgba(79, 70, 229, 0.03);
-}
-
-/* V21 按钮 */
-.xx-primary-btn {
-  background: linear-gradient(135deg, #6366f1, #4f46e5) !important;
-  color: white !important;
-  border: none !important;
-  border-radius: var(--radius-md) !important;
-  font-weight: 700 !important;
-  box-shadow: 0 8px 20px rgba(79, 70, 229, 0.25) !important;
-  transition: all 0.2s !important;
-}
-
-.xx-primary-btn:hover {
-  box-shadow: 0 12px 28px rgba(79, 70, 229, 0.3) !important;
-  transform: translateY(-1px);
-}
-
-.xx-ghost-btn {
-  background: white !important;
-  border: 1px solid rgba(226, 232, 240, 0.95) !important;
-  color: var(--slate, #0f172a) !important;
-  border-radius: var(--radius-md) !important;
-  font-weight: 600 !important;
-  transition: all 0.2s !important;
-}
-
-.xx-ghost-btn:hover {
-  border-color: var(--indigo, #4f46e5) !important;
-  color: var(--indigo, #4f46e5) !important;
-}
-
-/* V21 输入框 */
-.xx-search-input {
-  border-radius: var(--radius-md) !important;
-  border: 1px solid rgba(226, 232, 240, 0.95) !important;
-  padding: 8px 16px !important;
-}
-
-.xx-search-input:hover,
-.xx-search-input:focus {
-  border-color: var(--indigo, #4f46e5) !important;
-  box-shadow: 0 0 0 3px rgba(79, 70, 229, 0.1) !important;
-}
-
-/* V21 Tag */
-.xx-tag {
-  border-radius: var(--radius-xs) !important;
-  font-weight: 600 !important;
-  font-size: 12px !important;
-  padding: 4px 10px !important;
-}
-
-.xx-tag.info {
-  background: rgba(59, 130, 246, 0.1) !important;
-  color: #3b82f6 !important;
-  border: 1px solid rgba(59, 130, 246, 0.2) !important;
-}
-
-.xx-tag.success {
-  background: rgba(16, 185, 129, 0.1) !important;
-  color: #10b981 !important;
-  border: 1px solid rgba(16, 185, 129, 0.2) !important;
-}
-
-.xx-tag.warning {
-  background: rgba(245, 158, 11, 0.1) !important;
-  color: #f59e0b !important;
-  border: 1px solid rgba(245, 158, 11, 0.2) !important;
-}
-
-.xx-tag.error {
-  background: rgba(239, 68, 68, 0.1) !important;
-  color: #ef4444 !important;
-  border: 1px solid rgba(239, 68, 68, 0.2) !important;
-}
-
-.xx-tag.debug {
-  background: rgba(100, 116, 139, 0.1) !important;
-  color: #64748b !important;
-  border: 1px solid rgba(100, 116, 139, 0.2) !important;
-}
-
-/* V21 Progress */
-.xx-progress-primary .ant-progress-circle .ant-progress-text {
-  color: var(--indigo, #4f46e5) !important;
-  font-weight: 700 !important;
-}
-
-.xx-progress-success .ant-progress-circle .ant-progress-text {
-  color: var(--green, #10b981) !important;
-  font-weight: 700 !important;
-}
-
-.xx-progress-warning .ant-progress-circle .ant-progress-text {
-  color: var(--amber, #f59e0b) !important;
-  font-weight: 700 !important;
-}
-
-/* 图表容器 */
-.xx-chart-container {
-  background: rgba(255, 255, 255, 0.94);
-  border: 1px solid rgba(226, 232, 240, 0.95);
-  border-radius: var(--radius-lg);
-  box-shadow: 0 10px 30px rgba(15, 23, 42, 0.06);
-  padding: 24px;
-}
-
-.xx-chart-container .ant-card-head {
-  border-bottom: 1px solid rgba(226, 232, 240, 0.8);
-  padding: 20px 24px;
-}
-
-.xx-chart-container .ant-card-head-title {
-  font-weight: 800;
-  font-size: 17px;
-  color: var(--slate, #0f172a);
-}
-
-/* 筛选器区域 */
-.xx-filter-bar {
-  background: rgba(255, 255, 255, 0.94);
-  border: 1px solid rgba(226, 232, 240, 0.95);
-  border-radius: var(--radius-lg);
-  box-shadow: 0 10px 30px rgba(15, 23, 42, 0.06);
-  padding: 20px 24px;
-  margin-bottom: 24px;
-  display: flex;
-  flex-wrap: wrap;
-  gap: 16px;
-  align-items: center;
-}
-
-/* 资源监控卡片 */
-.xx-resource-card {
-  background: rgba(255, 255, 255, 0.94);
-  border: 1px solid rgba(226, 232, 240, 0.95);
-  border-radius: var(--radius-lg);
-  box-shadow: 0 10px 30px rgba(15, 23, 42, 0.06);
-  padding: 24px;
-  text-align: center;
-}
-
-.xx-resource-card-icon {
-  width: 64px;
-  height: 64px;
-  border-radius: var(--radius-md);
-  display: flex;
-  align-items: center;
-  justify-content: center;
-  margin: 0 auto 16px;
-  font-size: 28px;
-}
-
-.xx-resource-card-label {
-  font-size: 14px;
-  color: var(--muted, #64748b);
-  font-weight: 600;
-  margin-bottom: 16px;
-}
-
-/* 日期选择器 */
-.xx-date-picker {
-  border-radius: var(--radius-md) !important;
-}
-
-/* Drawer */
-.xx-drawer .ant-drawer-header {
-  border-bottom: 1px solid rgba(226, 232, 240, 0.8);
-  padding: 20px 24px;
-}
-
-.xx-drawer .ant-drawer-title {
-  font-weight: 800;
-  font-size: 18px;
-  color: var(--slate, #0f172a);
-}
-
-/* 日志详情 */
-.xx-log-detail {
-  padding: 4px 0;
-}
-
-.xx-log-detail-label {
-  font-size: 13px;
-  font-weight: 700;
-  color: var(--slate, #0f172a);
-  margin-bottom: 4px;
-}
-
-.xx-log-detail-value {
-  font-size: 14px;
-  color: var(--muted, #64748b);
-  background: rgba(248, 250, 252, 0.8);
-  padding: 12px;
-  border-radius: var(--radius-sm);
-  margin-bottom: 16px;
-}
-
-.xx-log-detail-code {
-  font-family: "JetBrains Mono", "Fira Code", monospace;
-  background: rgba(248, 250, 252, 0.8);
-  padding: 12px;
-  border-radius: var(--radius-sm);
-  white-space: pre-wrap;
-  word-break: break-all;
-}
-
-/* Result 页面居中 */
 .xx-result-center {
   display: flex;
   justify-content: center;
@@ -447,31 +25,3 @@
 .xx-result-center .ant-result {
   padding: 48px;
 }
-
-/* 刷新时间显示 */
-.xx-refresh-time {
-  font-size: 13px;
-  color: var(--muted, #64748b);
-  margin-right: 12px;
-}
-
-/* 图表配色覆盖 */
-.recharts-text {
-  fill: #64748b !important;
-  font-size: 12px !important;
-}
-
-.recharts-cartesian-grid-horizontal line,
-.recharts-cartesian-grid-vertical line {
-  stroke: rgba(226, 232, 240, 0.8) !important;
-}
-
-/* 图表 Legend */
-.recharts-legend-wrapper {
-  padding-top: 16px !important;
-}
-
-.recharts-legend-item-text {
-  color: #64748b !important;
-  font-size: 13px !important;
-}

apps/web/src/pages/dashboard/Dashboard.tsx

@@ -1,454 +1,97 @@
 /**
  * 控制台页面 — V21 设计系统
  * KPI 卡片网格 + 快速入口 + 最近任务卡片列表 + 使用统计图表 + 公告
- * 使用 mock 数据，CSS 变量，V21 组件
+ * CSS 变量，V21 组件
  */
 import React from "react";
 import { useNavigate } from "react-router-dom";
-import { Button, Tag } from "@/components/ui";
-import {
-  VideoCameraOutlined,
-  AppstoreOutlined,
-  ThunderboltOutlined,
-  DatabaseOutlined,
-  FileTextOutlined,
-} from "@ant-design/icons";
+import { Button } from "@/components/ui";
+import { DatabaseOutlined } from "@ant-design/icons";
 import "./dashboard.css";
 
-/* ============================================================
- * Mock 数据
- * ============================================================ */
-interface KpiItem {
-  key: string;
-  icon: string;
-  iconGradient: string;
-  value: string;
-  label: string;
-  trend: string;
-  trendDirection: "up" | "down" | "neutral";
-  accent: string;
-}
+/* ── 主组件 ─────────────────────────────────────────────── */
 
-// TODO: kpiData 当前使用硬编码 mock 数据，待后端提供 Dashboard 统计 API 后替换
-const kpiData: KpiItem[] = [
-  {
-    key: "projects",
-    icon: "video",
-    iconGradient: "linear-gradient(135deg, #6366f1, #4f46e5)",
-    value: "12",
-    label: "项目总数",
-    trend: "↑ 2 本月新增",
-    trendDirection: "up",
-    accent: "#6366f1",
-  },
-  {
-    key: "assets",
-    icon: "appstore",
-    iconGradient: "linear-gradient(135deg, #0ea5e9, #0284c7)",
-    value: "486",
-    label: "素材总数",
-    trend: "↑ 38 本月上传",
-    trendDirection: "up",
-    accent: "#0ea5e9",
-  },
-  {
-    key: "generations",
-    icon: "thunderbolt",
-    iconGradient: "linear-gradient(135deg, #10b981, #059669)",
-    value: "156",
-    label: "本月生成数",
-    trend: "↑ 23% 较上月",
-    trendDirection: "up",
-    accent: "#10b981",
-  },
-  {
-    key: "storage",
-    icon: "database",
-    iconGradient: "linear-gradient(135deg, #f59e0b, #d97706)",
-    value: "2.4GB",
-    label: "存储空间",
-    trend: "已用 24%",
-    trendDirection: "neutral",
-    accent: "#f59e0b",
-  },
-];
-
-interface QuickEntry {
-  id: string;
-  icon: string;
-  iconGradient: string;
-  title: string;
-  description: string;
-  path: string;
-}
-
-// TODO: quickEntries 描述中含硬编码计数（如 486个素材），待后端 API 后动态化
-const quickEntries: QuickEntry[] = [
-  {
-    id: "titles",
-    icon: "filetext",
-    iconGradient: "linear-gradient(135deg, #6366f1, #4f46e5)",
-    title: "标题库",
-    description: "24条标题 · 5个分类",
-    path: "/app/titles",
-  },
-  {
-    id: "assets",
-    icon: "appstore",
-    iconGradient: "linear-gradient(135deg, #0ea5e9, #0284c7)",
-    title: "素材库",
-    description: "486个素材 · 3个素材库",
-    path: "/app/assets",
-  },
-  {
-    id: "generate",
-    icon: "thunderbolt",
-    iconGradient: "linear-gradient(135deg, #10b981, #059669)",
-    title: "一键生成",
-    description: "开始创作新视频",
-    path: "/app/generate",
-  },
-  {
-    id: "products",
-    icon: "video",
-    iconGradient: "linear-gradient(135deg, #f59e0b, #d97706)",
-    title: "成片库",
-    description: "89个成片 · 3个待复核",
-    path: "/app/products",
-  },
-];
-
-type TaskStatus = "completed" | "processing" | "pending" | "failed";
-
-interface RecentTask {
-  id: string;
-  name: string;
-  type: string;
-  template: string;
-  status: TaskStatus;
-  date: string;
-  duration?: string;
-}
-
-const statusLabel: Record<TaskStatus, string> = {
-  completed: "已完成",
-  processing: "进行中",
-  pending: "排队中",
-  failed: "失败",
-};
-
-// TODO: recentTasks 当前使用硬编码 mock 数据，待后端提供最近任务 API 后替换
-const recentTasks: RecentTask[] = [
-  {
-    id: "t-1",
-    name: "产品介绍视频_春季促销",
-    type: "视频生成",
-    template: "商品展示模板",
-    status: "completed",
-    date: "2026-07-01 09:30",
-    duration: "2分18秒",
-  },
-  {
-    id: "t-2",
-    name: "品牌宣传片_终版",
-    type: "视频生成",
-    template: "品牌宣传模板",
-    status: "processing",
-    date: "2026-07-01 10:15",
-  },
-  {
-    id: "t-3",
-    name: "用户评价合集",
-    type: "视频生成",
-    template: "评价展示模板",
-    status: "completed",
-    date: "2026-06-30 16:42",
-    duration: "1分45秒",
-  },
-  {
-    id: "t-4",
-    name: "新品发布预告",
-    type: "视频生成",
-    template: "新品预告模板",
-    status: "pending",
-    date: "2026-06-30 14:20",
-  },
-  {
-    id: "t-5",
-    name: "活动回顾_618大促",
-    type: "视频生成",
-    template: "活动回顾模板",
-    status: "failed",
-    date: "2026-06-29 11:05",
-  },
-];
-
-interface ChartItem {
-  label: string;
-  value: number;
-}
-
-const weeklyData: ChartItem[] = [
-  { label: "周一", value: 18 },
-  { label: "周二", value: 25 },
-  { label: "周三", value: 32 },
-  { label: "周四", value: 28 },
-  { label: "周五", value: 42 },
-  { label: "周六", value: 15 },
-  { label: "周日", value: 8 },
-];
-
-interface Announcement {
-  id: string;
-  tag: "update" | "notice" | "activity";
-  tagLabel: string;
-  title: string;
-  date: string;
-}
-
-const announcements: Announcement[] = [
-  {
-    id: "a-1",
-    tag: "update",
-    tagLabel: "更新",
-    title: "系统已升级至 v2.0，新增批量生成功能",
-    date: "2026-07-01",
-  },
-  {
-    id: "a-2",
-    tag: "activity",
-    tagLabel: "活动",
-    title: "7月创作挑战赛已开启，参与赢积分奖励",
-    date: "2026-06-28",
-  },
-  {
-    id: "a-3",
-    tag: "notice",
-    tagLabel: "公告",
-    title: "7月3日凌晨 2:00-4:00 系统维护通知",
-    date: "2026-06-25",
-  },
-];
-
-/* ============================================================
- * 工具函数
- * ============================================================ */
-const getGreeting = () => {
-  const hour = new Date().getHours();
-  if (hour < 6) return "夜深了";
-  if (hour < 12) return "早上好";
-  if (hour < 14) return "中午好";
-  if (hour < 18) return "下午好";
-  return "晚上好";
-};
-
-const formatDate = () => {
-  const d = new Date();
-  const weekDays = ["日", "一", "二", "三", "四", "五", "六"];
-  return `${d.getFullYear()}年${d.getMonth() + 1}月${d.getDate()}日 星期${weekDays[d.getDay()]}`;
-};
-
-/** 图标名称 → Ant Design 组件映射 */
-const iconMap: Record<string, React.ReactNode> = {
-  video: <VideoCameraOutlined />,
-  appstore: <AppstoreOutlined />,
-  thunderbolt: <ThunderboltOutlined />,
-  database: <DatabaseOutlined />,
-  filetext: <FileTextOutlined />,
-};
-
-/* ============================================================
- * 组件
- * ============================================================ */
 const Dashboard: React.FC = () => {
   const navigate = useNavigate();
 
-  const maxChart = Math.max(...weeklyData.map((d) => d.value));
-
   return (
     <div className="xx-dashboard-page">
-      {/* ── 欢迎头部 ─────────────────────────────────────────── */}
-      <div className="xx-dashboard-welcome">
-        <h2>{getGreeting()}，创作者</h2>
-        <p>{formatDate()} — 欢迎回到小小剪辑控制台</p>
-      </div>
-
-      {/* ── KPI 卡片网格 ─────────────────────────────────────── */}
+      {/* KPI 卡片网格 */}
       <div className="xx-kpi-grid">
-        {kpiData.map((item) => (
-          <div
-            key={item.key}
-            className="xx-kpi-card"
-            style={{ "--kpi-accent": item.accent } as React.CSSProperties}
-          >
-            <div
-              className="xx-kpi-icon"
-              style={{ background: item.iconGradient }}
-            >
-              {iconMap[item.icon] ?? item.icon}
-            </div>
-            <div className="xx-kpi-value">{item.value}</div>
-            <div className="xx-kpi-label">{item.label}</div>
-            <span
-              className={`xx-kpi-trend xx-kpi-trend--${item.trendDirection}`}
-            >
-              {item.trend}
-            </span>
-          </div>
-        ))}
-      </div>
-
-      {/* ── 主内容区：左侧任务+图表 / 右侧公告 ──────────────── */}
-      <div className="xx-dashboard-main">
-        {/* 左列 */}
-        <div className="xx-dashboard-left-col">
-          {/* 最近任务 */}
-          <div className="xx-dashboard-section">
-            <div className="xx-dashboard-section-header">
-              <h3>最近任务</h3>
-              <button onClick={() => navigate("/app/history")}>查看全部</button>
-            </div>
-            <div className="xx-task-list">
-              {recentTasks.map((task) => (
-                <div key={task.id} className="xx-task-item">
-                  <div className="xx-task-info">
-                    <h4>{task.name}</h4>
-                    <span>
-                      {task.type} · 模板：{task.template}
-                    </span>
-                  </div>
-                  <Tag
-                    variant={
-                      task.status === "completed"
-                        ? "success"
-                        : task.status === "processing"
-                          ? "info"
-                          : task.status === "failed"
-                            ? "error"
-                            : "warning"
-                    }
-                  >
-                    {statusLabel[task.status]}
-                  </Tag>
-                  <div className="xx-task-time">
-                    <span>{task.date}</span>
-                    {task.status === "completed"
-                      ? `耗时 ${task.duration}`
-                      : task.status === "processing"
-                        ? "生成中..."
-                        : task.status === "failed"
-                          ? "请重试"
-                          : "等待中"}
-                  </div>
-                  <div className="xx-task-action">
-                    <Button
-                      buttonType="ghost"
-                      buttonSize="sm"
-                      onClick={() => navigate("/app/history")}
-                    >
-                      查看
-                    </Button>
-                  </div>
-                </div>
-              ))}
-            </div>
-          </div>
-
-          {/* 使用统计图表 */}
-          <div className="xx-dashboard-section">
-            <div className="xx-dashboard-section-header">
-              <h3>本周生成趋势</h3>
-              <span className="xx-chart-total">
-                共 {weeklyData.reduce((s, d) => s + d.value, 0)} 次
-              </span>
-            </div>
-            <div className="xx-chart-container">
-              <div className="xx-chart-bars">
-                {weeklyData.map((d, i) => (
-                  <div key={i} className="xx-chart-bar-wrapper">
-                    <div
-                      className="xx-chart-bar"
-                      style={{
-                        height: `${(d.value / maxChart) * 100}%`,
-                      }}
-                    >
-                      <span className="xx-chart-bar-value">{d.value}</span>
-                    </div>
-                  </div>
-                ))}
-              </div>
-              <div className="xx-chart-labels">
-                {weeklyData.map((d, i) => (
-                  <div key={i} className="xx-chart-label">
-                    {d.label}
-                  </div>
-                ))}
-              </div>
-            </div>
-          </div>
-        </div>
-
-        {/* 右列 — 公告 + 存储用量 */}
-        <div className="xx-dashboard-section xx-dashboard-section--start">
-          <div className="xx-dashboard-section-header">
-            <h3>系统公告</h3>
-          </div>
-          <div className="xx-announcement-list">
-            {announcements.map((a) => (
-              <div key={a.id} className="xx-announcement-item">
-                <span
-                  className={`xx-announcement-tag xx-announcement-tag--${a.tag}`}
-                >
-                  {a.tagLabel}
-                </span>
-                <div className="xx-announcement-content">
-                  <h4>{a.title}</h4>
-                  <time>{a.date}</time>
-                </div>
-              </div>
-            ))}
-          </div>
-
-          {/* 存储用量 */}
-          <div className="xx-storage-section">
-            <div className="xx-storage-section-title">存储用量</div>
-            <div className="xx-storage-bar">
-              <div className="xx-storage-bar-track">
-                <div className="xx-storage-bar-fill" style={{ width: "24%" }} />
-              </div>
-              <div className="xx-storage-bar-label">
-                <span>2.4 GB 已用</span>
-                <span>10 GB 总量</span>
-              </div>
-            </div>
-          </div>
+        <div className="xx-dashboard-empty">
+          <p>暂无统计数据</p>
         </div>
       </div>
 
-      {/* ── 快速入口 ─────────────────────────────────────────── */}
+      {/* 快速入口 */}
       <div className="xx-quick-entry-section">
         <div className="xx-quick-entry-header">
           <h3 className="xx-quick-entry-title">快速入口</h3>
         </div>
         <div className="xx-quick-grid">
-          {quickEntries.map((entry) => (
-            <div
-              key={entry.id}
-              className="xx-quick-card"
-              onClick={() => navigate(entry.path)}
-            >
-              <div
-                className="xx-quick-card-icon"
-                style={{ background: entry.iconGradient }}
-              >
-                {iconMap[entry.icon] ?? entry.icon}
-              </div>
-              <h3>{entry.title}</h3>
-              <p>{entry.description}</p>
-            </div>
-          ))}
+          <div className="xx-dashboard-empty">
+            <p>暂无快速入口</p>
+          </div>
         </div>
       </div>
+
+      {/* 最近任务 */}
+      <section className="xx-dashboard-section">
+        <div className="xx-dashboard-section-header">
+          <h3>最近任务</h3>
+          <Button
+            buttonType="ghost"
+            buttonSize="sm"
+            onClick={() => navigate("/app/history")}
+          >
+            查看全部
+          </Button>
+        </div>
+        <div className="xx-task-list">
+          <div className="xx-dashboard-empty">
+            <p>暂无最近任务</p>
+          </div>
+        </div>
+      </section>
+
+      {/* 使用统计 */}
+      <section
+        className="xx-dashboard-section"
+        style={{ marginTop: "var(--space-md)" }}
+      >
+        <div className="xx-dashboard-section-header">
+          <h3>使用统计</h3>
+        </div>
+        <div className="xx-chart-container">
+          <div className="xx-chart-bars">
+            <div className="xx-dashboard-empty" style={{ width: "100%" }}>
+              <DatabaseOutlined style={{ fontSize: 24, marginBottom: 8 }} />
+              <p>暂无统计数据</p>
+            </div>
+          </div>
+        </div>
+      </section>
+
+      {/* 公告 */}
+      <section
+        className="xx-dashboard-section"
+        style={{ marginTop: "var(--space-md)" }}
+      >
+        <div className="xx-dashboard-section-header">
+          <h3>公告</h3>
+        </div>
+        <div className="xx-announcement-list">
+          <div className="xx-announcement-item">
+            <span className="xx-announcement-tag xx-announcement-tag--notice">
+              官方
+            </span>
+            <div className="xx-announcement-content">
+              <h4>欢迎使用小应 SaaS 平台</h4>
+              <time>当前为演示版本，部分功能正在开发中。</time>
+            </div>
+          </div>
+        </div>
+      </section>
     </div>
   );
 };

apps/web/src/pages/dashboard/dashboard.css

@@ -1,6 +1,6 @@
 /**
  * 控制台页面 - V21 设计系统样式
- * KPI 卡片网格 + 快速入口 + 最近任务卡片列表 + 使用统计图表 + 公告
+ * KPI 卡片网格 + 快速入口 + 最近任务 + 使用统计图表 + 公告
  * 统一使用 CSS 变量，支持深色/浅色主题
  */
 @import "../../styles/global.css";
@@ -13,26 +13,6 @@
   padding: var(--space-xl);
 }
 
-/* ============================================================
-   欢迎头部
-   ============================================================ */
-.xx-dashboard-welcome {
-  margin-bottom: var(--space-lg);
-}
-
-.xx-dashboard-welcome h2 {
-  margin: 0 0 var(--space-xs);
-  font-size: var(--font-size-xl);
-  font-weight: var(--font-weight-bold);
-  color: var(--text-primary);
-}
-
-.xx-dashboard-welcome p {
-  margin: 0;
-  font-size: var(--font-size-sm);
-  color: var(--text-secondary);
-}
-
 /* ============================================================
    KPI 卡片网格
    ============================================================ */
@@ -43,76 +23,6 @@
   margin-bottom: var(--space-lg);
 }
 
-.xx-kpi-card {
-  background: linear-gradient(180deg, var(--bg-primary), var(--bg-secondary));
-  border: 1px solid var(--border-color);
-  border-radius: var(--radius-lg);
-  padding: 20px;
-  transition: 0.18s ease;
-  position: relative;
-  overflow: hidden;
-}
-
-.xx-kpi-card:hover {
-  transform: translateY(-2px);
-  box-shadow: var(--shadow-sm);
-}
-
-.xx-kpi-icon {
-  width: 40px;
-  height: 40px;
-  border-radius: var(--radius-md);
-  display: flex;
-  align-items: center;
-  justify-content: center;
-  font-size: var(--font-size-lg);
-  margin-bottom: var(--space-sm);
-}
-
-.xx-kpi-value {
-  font-size: 30px;
-  font-weight: 800;
-  color: var(--text-primary);
-  line-height: 1.2;
-  margin-bottom: var(--space-xs);
-}
-
-.xx-kpi-label {
-  font-size: var(--font-size-sm);
-  color: var(--text-secondary);
-  margin-bottom: var(--space-sm);
-}
-
-.xx-kpi-trend {
-  font-size: 12px;
-  margin-top: 8px;
-  display: inline-flex;
-  align-items: center;
-  gap: 4px;
-}
-
-.xx-kpi-trend--up {
-  color: var(--success-color);
-}
-
-.xx-kpi-trend--down {
-  color: var(--error-color);
-}
-
-.xx-kpi-trend--neutral {
-  color: var(--text-tertiary);
-}
-
-/* ============================================================
-   主内容区两栏布局
-   ============================================================ */
-.xx-dashboard-main {
-  display: grid;
-  grid-template-columns: 1fr 320px;
-  gap: var(--space-md);
-  margin-bottom: var(--space-lg);
-}
-
 /* ============================================================
    区块卡片
    ============================================================ */
@@ -161,7 +71,25 @@
 }
 
 /* ============================================================
-   最近任务卡片列表
+   空状态
+   ============================================================ */
+.xx-dashboard-empty {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  padding: var(--space-xl) var(--space-md);
+  text-align: center;
+  color: var(--text-tertiary);
+}
+
+.xx-dashboard-empty p {
+  margin: 0;
+  font-size: var(--font-size-sm);
+}
+
+/* ============================================================
+   最近任务列表
    ============================================================ */
 .xx-task-list {
   display: flex;
@@ -169,86 +97,6 @@
   gap: var(--space-sm);
 }
 
-.xx-task-item {
-  background: var(--bg-primary);
-  border: 1px solid var(--border-color);
-  border-radius: var(--radius-md);
-  padding: var(--space-sm) var(--space-md);
-  display: grid;
-  grid-template-columns: 1fr auto auto auto;
-  gap: var(--space-md);
-  align-items: center;
-  transition: var(--transition-all);
-}
-
-.xx-task-item:hover {
-  border-color: var(--primary-color);
-  box-shadow: var(--shadow-sm);
-}
-
-.xx-task-info h4 {
-  margin: 0 0 var(--space-xs);
-  font-size: var(--font-size-sm);
-  font-weight: 600;
-  color: var(--text-primary);
-}
-
-.xx-task-info span {
-  font-size: var(--font-size-xs);
-  color: var(--text-secondary);
-}
-
-.xx-task-status {
-  display: inline-flex;
-  align-items: center;
-  gap: var(--space-xs);
-  padding: 3px 10px;
-  border-radius: var(--radius-sm);
-  font-size: var(--font-size-xs);
-  font-weight: 500;
-  white-space: nowrap;
-}
-
-.xx-task-status--completed {
-  color: var(--success-color);
-  background: var(--success-soft);
-  border: 1px solid var(--success-border);
-}
-
-.xx-task-status--processing {
-  color: var(--info-color);
-  background: var(--primary-soft);
-  border: 1px solid var(--color-primary-200);
-}
-
-.xx-task-status--pending {
-  color: var(--text-secondary);
-  background: var(--bg-secondary);
-  border: 1px solid var(--border-color);
-}
-
-.xx-task-status--failed {
-  color: var(--error-color);
-  background: var(--error-soft);
-  border: 1px solid var(--error-border);
-}
-
-.xx-task-time {
-  text-align: right;
-  font-size: var(--font-size-xs);
-  color: var(--text-secondary);
-  min-width: 100px;
-}
-
-.xx-task-time span {
-  display: block;
-  margin-bottom: var(--space-xxs);
-}
-
-.xx-task-action {
-  font-size: var(--font-size-xs);
-}
-
 /* ============================================================
    使用统计图表（纯 CSS 柱状图）
    ============================================================ */
@@ -264,69 +112,27 @@
   padding-top: var(--space-sm);
 }
 
-.xx-chart-bar-wrapper {
-  flex: 1;
-  display: flex;
-  flex-direction: column;
-  align-items: center;
-  height: 100%;
-  justify-content: flex-end;
-}
-
-.xx-chart-bar {
-  width: 100%;
-  max-width: 36px;
-  border-radius: var(--radius-sm) var(--radius-sm) 0 0;
-  background: var(--gradient-primary);
-  transition: height 0.6s cubic-bezier(0.34, 1.56, 0.64, 1);
-  position: relative;
-  min-height: 4px;
-  cursor: pointer;
-}
-
-.xx-chart-bar:hover {
-  opacity: 0.85;
-}
-
-.xx-chart-bar:active {
-  opacity: 0.7;
-  transform: scaleY(0.97);
-  transform-origin: bottom;
-}
-
-.xx-chart-bar-value {
-  position: absolute;
-  top: -20px;
-  left: 50%;
-  transform: translateX(-50%);
-  font-size: var(--font-size-xs);
-  font-weight: 600;
-  color: var(--text-primary);
-  white-space: nowrap;
-  opacity: 0;
-  transition: var(--transition-opacity);
-}
-
-.xx-chart-bar:hover .xx-chart-bar-value {
-  opacity: 1;
-}
-
-.xx-chart-labels {
-  display: flex;
-  gap: var(--space-sm);
-  margin-top: var(--space-sm);
-}
-
-.xx-chart-label {
-  flex: 1;
-  text-align: center;
-  font-size: var(--font-size-xs);
-  color: var(--text-secondary);
-}
-
 /* ============================================================
-   快速入口卡片网格
+   快速入口
    ============================================================ */
+.xx-quick-entry-section {
+  margin-bottom: var(--space-md);
+}
+
+.xx-quick-entry-header {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  margin-bottom: var(--space-md);
+}
+
+.xx-quick-entry-title {
+  margin: 0;
+  font-size: var(--font-size-base);
+  font-weight: var(--font-weight-semibold);
+  color: var(--text-primary);
+}
+
 .xx-quick-grid {
   display: grid;
   grid-template-columns: repeat(4, 1fr);
@@ -334,53 +140,6 @@
   margin-bottom: var(--space-lg);
 }
 
-.xx-quick-card {
-  background: var(--bg-primary);
-  border: 1px solid var(--border-color);
-  border-radius: var(--radius-lg);
-  padding: var(--space-lg);
-  cursor: pointer;
-  transition: var(--transition-all);
-  text-align: center;
-}
-
-.xx-quick-card:hover {
-  border-color: var(--primary-color);
-  box-shadow: var(--shadow-md);
-  transform: translateY(-2px);
-}
-
-.xx-quick-card:active {
-  transform: translateY(0) scale(0.98);
-  box-shadow: var(--shadow-sm);
-  transition-duration: 0.1s;
-}
-
-.xx-quick-card-icon {
-  width: 52px;
-  height: 52px;
-  border-radius: var(--radius-md);
-  display: flex;
-  align-items: center;
-  justify-content: center;
-  font-size: var(--font-size-xl);
-  margin: 0 auto var(--space-md);
-  color: var(--text-inverse);
-}
-
-.xx-quick-card h3 {
-  margin: 0 0 var(--space-sm);
-  font-size: var(--font-size-md);
-  font-weight: var(--font-weight-semibold);
-  color: var(--text-primary);
-}
-
-.xx-quick-card p {
-  margin: 0;
-  color: var(--text-secondary);
-  font-size: var(--font-size-sm);
-}
-
 /* ============================================================
    公告区域
    ============================================================ */
@@ -451,90 +210,10 @@
   color: var(--text-secondary);
 }
 
-/* ============================================================
-   存储用量条
-   ============================================================ */
-.xx-storage-bar {
-  margin-top: var(--space-sm);
-}
-
-.xx-storage-bar-track {
-  height: var(--space-sm);
-  background: var(--bg-secondary);
-  border-radius: var(--space-xs);
-  overflow: hidden;
-}
-
-.xx-storage-bar-fill {
-  height: 100%;
-  border-radius: var(--space-xs);
-  background: var(--gradient-primary);
-  transition: width 0.6s ease;
-}
-
-.xx-storage-bar-label {
-  display: flex;
-  justify-content: space-between;
-  font-size: var(--font-size-xs);
-  color: var(--text-secondary);
-  margin-top: var(--space-xs);
-}
-
-/* ============================================================
-   迁移自内联样式的工具类
-   ============================================================ */
-.xx-dashboard-left-col {
-  display: flex;
-  flex-direction: column;
-  gap: var(--space-md);
-}
-
-.xx-chart-total {
-  font-size: var(--font-size-xs);
-  color: var(--text-secondary);
-}
-
-.xx-dashboard-section--start {
-  align-self: start;
-}
-
-.xx-storage-section {
-  margin-top: var(--space-md);
-}
-
-.xx-storage-section-title {
-  font-size: 13px;
-  font-weight: 500;
-  color: var(--text-primary);
-  margin-bottom: 4px;
-}
-
-.xx-quick-entry-section {
-  margin-bottom: var(--space-md);
-}
-
-.xx-quick-entry-header {
-  display: flex;
-  align-items: center;
-  justify-content: space-between;
-  margin-bottom: var(--space-md);
-}
-
-.xx-quick-entry-title {
-  margin: 0;
-  font-size: var(--font-size-base);
-  font-weight: var(--font-weight-semibold);
-  color: var(--text-primary);
-}
-
 /* ============================================================
    响应式
    ============================================================ */
 @media (max-width: 1200px) {
-  .xx-dashboard-main {
-    grid-template-columns: 1fr;
-  }
-
   .xx-kpi-grid {
     grid-template-columns: repeat(2, 1fr);
   }
@@ -557,15 +236,6 @@
     grid-template-columns: 1fr;
   }
 
-  .xx-task-item {
-    grid-template-columns: 1fr;
-    gap: var(--space-sm);
-  }
-
-  .xx-task-time {
-    text-align: left;
-  }
-
   .xx-chart-bars {
     height: 120px;
   }

apps/web/src/pages/generate/GeneratePage.tsx

@@ -69,22 +69,6 @@ const VOICE_GENDER_ICON: Record<string, string> = {
   neutral: "✨",
 };
 
-/* ── 时间线 Mock ──
- * TODO: 后端暂无时间线场景数据 API，当前使用硬编码预览数据。
- *       待后端提供 timeline/scene 接口后替换为真实 API 调用。
- */
-interface TimelineScene {
-  scene: string;
-  time: string;
-  duration: number;
-}
-
-const MOCK_TIMELINE: TimelineScene[] = [
-  { scene: "主讲口播 · 开场钩子", time: "0-8s", duration: 8 },
-  { scene: "产品特写 · B-roll", time: "8-20s", duration: 12 },
-  { scene: "用户反馈 · 结尾", time: "20-30s", duration: 10 },
-];
-
 /* ── 步骤定义 ── */
 const STEPS = [
   { key: 1, label: "选择模板" },
@@ -1758,15 +1742,19 @@ const GeneratePage: React.FC = () => {
           <div className="xx-preview-title">剪辑计划预览</div>
 
           {/* 时间线列表 */}
-          <div className="xx-preview-timeline">
-            {MOCK_TIMELINE.map((item, idx) => (
-              <div key={idx} className="xx-timeline-item">
-                <div className="num">{idx + 1}</div>
-                <span className="scene-name">{item.scene}</span>
-                <span>{item.time}</span>
+          {generated ? (
+            <div className="xx-preview-timeline">
+              <div className="xx-timeline-item">
+                <span className="scene-name">生成完成，可下载或分享视频</span>
               </div>
-            ))}
-          </div>
+            </div>
+          ) : (
+            <div className="xx-preview-timeline">
+              <div className="xx-timeline-item">
+                <span className="scene-name">确认标题后自动生成剪辑计划</span>
+              </div>
+            </div>
+          )}
 
           {/* 生成操作按钮 */}
           <div className="xx-generate-actions">

apps/web/src/pages/titles/TitleLibrary.tsx

@@ -36,36 +36,24 @@ type TitleType = "hot" | "normal" | "creative";
 type Industry = "general" | "food" | "tech" | "beauty" | "education" | "travel";
 type Frequency = "all" | "high" | "medium" | "low";
 
-interface CategoryItem {
-  id: string;
-  name: string;
-  count: number;
-}
-
 interface TitleData {
   id: string;
   content: string;
   type: TitleType;
   industry: Industry;
+  category: string;
   usageCount: number;
   isFavorited: boolean;
   createdAt: string;
 }
 
-/* ============================================================
- * Mock 数据
- * ============================================================ */
-// TODO: 分类数据当前为前端硬编码 mock，待后端提供标题分类 API 后替换
-const MOCK_CATEGORIES: CategoryItem[] = [
-  { id: "cat-all", name: "全部标题", count: 0 },
-];
-
 /** 后端 TitleItem → 前端 TitleData 映射 */
 const toTitleData = (item: TitleItem): TitleData => ({
   id: item.id,
   content: item.content,
   type: (item.category as TitleType) || "normal",
   industry: "general",
+  category: item.category || "未分类",
   usageCount: 0,
   isFavorited: false,
   createdAt: item.created_at?.slice(0, 10) || "",
@@ -246,9 +234,8 @@ const TitleCard: React.FC<{
 const TitleLibrary: React.FC = () => {
   const queryClient = useQueryClient();
 
-  /* 分类数据 */
-  const [categories, setCategories] = useState<CategoryItem[]>(MOCK_CATEGORIES);
-  const [activeCatId, setActiveCatId] = useState<string>(MOCK_CATEGORIES[0].id);
+  /* 分类数据 — 从真实标题数据动态派生 */
+  const [activeCatId, setActiveCatId] = useState<string>("cat-all");
 
   /* 标题数据 — 真实 API */
   const { data: apiTitles = [] } = useQuery({
@@ -261,6 +248,23 @@ const TitleLibrary: React.FC = () => {
     [apiTitles],
   );
 
+  /* 从真实标题数据动态派生分类（无需后端分类 API） */
+  const categories = useMemo(() => {
+    const cats = new Map<string, number>();
+    apiTitles.forEach((t) => {
+      const cat = t.category || "未分类";
+      cats.set(cat, (cats.get(cat) || 0) + 1);
+    });
+    return [
+      { id: "cat-all", name: "全部标题", count: apiTitles.length },
+      ...Array.from(cats.entries()).map(([name, count]) => ({
+        id: `cat-${name}`,
+        name,
+        count,
+      })),
+    ];
+  }, [apiTitles]);
+
   /* CRUD mutations */
   const createMutation = useMutation({
     mutationFn: (content: string) => createTitle({ content }),
@@ -297,10 +301,6 @@ const TitleLibrary: React.FC = () => {
   const [editingId, setEditingId] = useState<string | null>(null);
   const [editText, setEditText] = useState("");
 
-  /* 新建分类 */
-  const [createCatModalOpen, setCreateCatModalOpen] = useState(false);
-  const [newCatName, setNewCatName] = useState("");
-
   /* 新建标题 */
   const [createTitleModalOpen, setCreateTitleModalOpen] = useState(false);
   const [newTitleContent, setNewTitleContent] = useState("");
@@ -318,19 +318,11 @@ const TitleLibrary: React.FC = () => {
   const filteredTitles = useMemo(() => {
     let list = titles;
 
-    /* 按分类过滤（"全部标题" 不过滤） */
+    /* 按分类过滤（"全部标题" 不过滤）— 直接匹配后端 category 字段 */
     if (activeCatId !== "cat-all") {
       const catName = activeCategory?.name || "";
-      const catToIndustry: Record<string, Industry> = {
-        美食探店: "food",
-        科技数码: "tech",
-        生活日常: "general",
-        美妆穿搭: "beauty",
-        教育学习: "education",
-      };
-      const mappedIndustry = catToIndustry[catName];
-      if (mappedIndustry) {
-        list = list.filter((t) => t.industry === mappedIndustry);
+      if (catName) {
+        list = list.filter((t) => t.category === catName);
       }
     }
 
@@ -424,33 +416,6 @@ const TitleLibrary: React.FC = () => {
     [deleteMutation],
   );
 
-  /* 新建分类 */
-  const handleCreateCategory = () => {
-    if (!newCatName.trim()) {
-      message.warning("请输入分类名称");
-      return;
-    }
-    const cat: CategoryItem = {
-      id: `cat-${Date.now()}`,
-      name: newCatName.trim(),
-      count: 0,
-    };
-    setCategories((prev) => [...prev, cat]);
-    setActiveCatId(cat.id);
-    setCreateCatModalOpen(false);
-    setNewCatName("");
-    message.success(`分类 "${cat.name}" 创建成功`);
-  };
-
-  /* 删除分类 */
-  const handleDeleteCategory = (id: string) => {
-    setCategories((prev) => prev.filter((c) => c.id !== id));
-    if (activeCatId === id) {
-      setActiveCatId("cat-all");
-    }
-    message.success("分类已删除");
-  };
-
   /* 新建标题 */
   const handleCreateTitle = () => {
     if (!newTitleContent.trim()) {
@@ -537,38 +502,11 @@ const TitleLibrary: React.FC = () => {
                   </h4>
                   <span>{cat.count} 条</span>
                 </div>
-                {cat.id !== "cat-all" && (
-                  <Popconfirm
-                    title={`确定删除分类 "${cat.name}"？`}
-                    onConfirm={(e) => {
-                      e?.stopPropagation();
-                      handleDeleteCategory(cat.id);
-                    }}
-                    onCancel={(e) => e?.stopPropagation()}
-                    okText="删除"
-                    cancelText="取消"
-                  >
-                    <button
-                      className="xx-title-category-delete"
-                      onClick={(e) => e.stopPropagation()}
-                      title="删除分类"
-                    >
-                      <DeleteOutlined />
-                    </button>
-                  </Popconfirm>
-                )}
               </div>
             </div>
           ))}
 
-          {/* 新建分类 */}
-          <div
-            className="xx-title-category-add"
-            onClick={() => setCreateCatModalOpen(true)}
-          >
-            <PlusOutlined />
-            新建分类
-          </div>
+          {/* TODO: 新建分类功能待后端分类 API 就绪后启用 */}
         </div>
 
         {/* ─── 右侧：内容区 ─── */}
@@ -674,35 +612,6 @@ const TitleLibrary: React.FC = () => {
         </div>
       </div>
 
-      {/* ─── 新建分类弹窗 ─── */}
-      <AntModal
-        title="新建分类"
-        open={createCatModalOpen}
-        onCancel={() => setCreateCatModalOpen(false)}
-        onOk={handleCreateCategory}
-        okText="创建"
-        cancelText="取消"
-        destroyOnClose
-      >
-        <div style={{ padding: "8px 0" }}>
-          <div
-            style={{
-              marginBottom: 6,
-              fontSize: "var(--font-size-sm)",
-              color: "var(--text-secondary)",
-            }}
-          >
-            分类名称
-          </div>
-          <Input
-            placeholder="请输入分类名称"
-            value={newCatName}
-            onChange={(e) => setNewCatName(e.target.value)}
-            maxLength={30}
-          />
-        </div>
-      </AntModal>
-
       {/* ─── 新建标题弹窗 ─── */}
       <AntModal
         title="新建标题"

apps/worker/services/asr_service_factory.py

@@ -0,0 +1,47 @@
+"""ASR 服务工厂 — 根据环境配置创建对应 ASR 服务实例。
+
+支持的后端：
+- mock: MockASRService（测试/开发用）
+- 后续可扩展：whisper / aliyun / tencent 等
+"""
+
+from __future__ import annotations
+
+import os
+from functools import lru_cache
+
+from packages.ports.asr_service import ASRService
+
+
+@lru_cache(maxsize=1)
+def get_asr_service() -> ASRService | None:
+    """获取全局 ASR 服务实例（单例）。
+
+    根据环境变量 ASR_PROVIDER 决定使用哪个后端：
+    - mock / 空 / 未设置: 返回 None（不启用 ASR）
+    - mock: 使用 MockASRService
+
+    Returns:
+        ASRService 实例，未配置或不启用时返回 None
+    """
+    provider = os.environ.get("ASR_PROVIDER", "").lower().strip()
+
+    if not provider:
+        return None
+
+    if provider == "mock":
+        from packages.adapters.asr.mock_asr_service import MockASRService
+
+        return MockASRService()
+
+    # 未知 provider，记录日志并返回 None（不启用 ASR，不阻断主流程）
+    import logging
+
+    logger = logging.getLogger(__name__)
+    logger.warning("未知的 ASR provider: %s，ASR 自动字幕功能未启用", provider)
+    return None
+
+
+def reset_asr_service_cache() -> None:
+    """重置 ASR 服务缓存（测试用）。"""
+    get_asr_service.cache_clear()

apps/worker/services/tts_service_factory.py

@@ -0,0 +1,66 @@
+"""TTS 服务工厂.
+
+根据配置创建对应的 TTS 服务实例。
+"""
+
+from __future__ import annotations
+
+import logging
+import os
+
+from packages.ports.tts_service import TtsService
+
+logger = logging.getLogger(__name__)
+
+# 可用的 provider 映射
+_PROVIDERS: dict[str, type[TtsService]] = {}
+
+
+def register_provider(name: str, cls: type[TtsService]) -> None:
+    """注册 TTS 供应商."""
+    _PROVIDERS[name] = cls
+
+
+def get_tts_service(provider: str | None = None, **kwargs) -> TtsService:
+    """获取 TTS 服务实例.
+
+    Args:
+        provider: 供应商名称（None 则从环境变量读取 TTS_PROVIDER）
+        **kwargs: 传递给服务构造函数的参数
+
+    Returns:
+        TTS 服务实例
+
+    Raises:
+        ValueError: 不支持的供应商
+    """
+    if provider is None:
+        provider = os.environ.get("TTS_PROVIDER", "mock")
+
+    provider = provider.lower()
+
+    if provider not in _PROVIDERS:
+        # 延迟导入避免循环依赖
+        if provider == "mock":
+            from packages.adapters.tts.mock_tts_service import MockTtsService
+
+            _PROVIDERS["mock"] = MockTtsService
+        else:
+            logger.warning("未知 TTS provider: %s，回退到 mock", provider)
+            from packages.adapters.tts.mock_tts_service import MockTtsService
+
+            _PROVIDERS["mock"] = MockTtsService
+            provider = "mock"
+
+    cls = _PROVIDERS[provider]
+    return cls(**kwargs)
+
+
+def available_providers() -> list[str]:
+    """获取可用的供应商列表."""
+    # 确保 mock 已注册
+    if "mock" not in _PROVIDERS:
+        from packages.adapters.tts.mock_tts_service import MockTtsService
+
+        _PROVIDERS["mock"] = MockTtsService
+    return list(_PROVIDERS.keys())

apps/worker/video_processing/bgm_mixer.py

@@ -0,0 +1,313 @@
+"""BGM 混音模块 — 背景音乐与主音频混合.
+
+基于 FFmpeg 实现：
+- BGM 音量调节
+- 淡入淡出（afade）
+- 循环播放（aloop，短 BGM 铺长视频）
+- 人声闪避（sidechaincompress，有人声时BGM自动降低音量）
+- amix 混音
+
+作为 render_audio.py 的增强模块，在 mix_audio 后处理阶段被调用。
+"""
+
+from __future__ import annotations
+
+import logging
+from dataclasses import dataclass
+from pathlib import Path
+from typing import TYPE_CHECKING
+
+from video_processing.ffmpeg_utils import FFMPEG_BIN, probe_duration, run_ffmpeg
+
+if TYPE_CHECKING:
+    from video_processing.render_audio import RenderContext
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class BGMConfig:
+    """BGM 混音配置（内部使用，从 plan.config.bgm 转换而来）"""
+
+    bgm_path: str  # BGM 本地文件路径
+    volume: float = 0.3  # 0.0 ~ 1.0
+    fade_in: float = 0.0  # 淡入时长（秒）
+    fade_out: float = 0.0  # 淡出时长（秒）
+    loop_enabled: bool = True  # 是否循环铺满
+    sidechain_enabled: bool = False  # 人声闪避
+    sidechain_ratio: float = 0.3  # 闪避时音量降低比例
+    sidechain_attack: float = 0.02  # 攻击时间
+    sidechain_release: float = 0.5  # 释放时间
+    sidechain_threshold: float = -25.0  # 触发阈值（dB）
+
+    @classmethod
+    def from_config_dict(cls, bgm_path: str, config: dict) -> "BGMConfig":
+        """从 plan.config.bgm 字典创建 BGMConfig。"""
+        return cls(
+            bgm_path=bgm_path,
+            volume=float(config.get("volume", 0.3)),
+            fade_in=float(config.get("fade_in", 0.0)),
+            fade_out=float(config.get("fade_out", 0.0)),
+            loop_enabled=bool(config.get("loop_enabled", True)),
+            sidechain_enabled=bool(config.get("sidechain_enabled", False)),
+            sidechain_ratio=float(config.get("sidechain_ratio", 0.3)),
+            sidechain_attack=float(config.get("sidechain_attack", 0.02)),
+            sidechain_release=float(config.get("sidechain_release", 0.5)),
+            sidechain_threshold=float(config.get("sidechain_threshold", -25.0)),
+        )
+
+
+# ── BGM 预处理 ────────────────────────────────────────────────────────────────
+
+
+def prepare_bgm_track(
+    ctx: "RenderContext",
+    bgm: BGMConfig,
+    target_duration: float,
+) -> Path:
+    """预处理 BGM 轨道：循环/截断 + 音量 + 淡入淡出.
+
+    生成一个时长精确等于 target_duration 的 BGM 音频文件。
+    后续再与主音频混音。
+
+    Args:
+        ctx: 渲染上下文
+        bgm: BGM 配置
+        target_duration: 目标时长（秒），通常等于视频总时长
+
+    Returns:
+        处理后的 BGM 音频文件路径
+    """
+    output_path = ctx.work_dir / f"bgm_processed_{ctx.plan_id}.aac"
+
+    if target_duration <= 0:
+        target_duration = 5.0  # 兜底
+
+    bgm_dur = probe_duration(bgm.bgm_path)
+    needs_loop = bgm.loop_enabled and bgm_dur > 0 and bgm_dur < target_duration * 0.9
+
+    # 构建滤镜链
+    filter_parts: list[str] = []
+    input_looped: bool = False
+
+    if needs_loop:
+        # 计算需要循环多少次才能铺满
+        loop_count = max(1, int(target_duration / bgm_dur) + 2)
+        # aloop 滤镜：循环指定次数
+        filter_parts.append(f"aloop=loop={loop_count}:size=0")
+        input_looped = True
+
+    # 音量调节
+    volume = max(0.0, min(1.0, bgm.volume))
+    if abs(volume - 1.0) > 0.001:
+        filter_parts.append(f"volume={volume:.3f}")
+
+    # 淡入
+    if bgm.fade_in > 0:
+        filter_parts.append(f"afade=t=in:st=0:d={bgm.fade_in:.3f}")
+
+    # 淡出（从 target_duration - fade_out 开始）
+    if bgm.fade_out > 0 and target_duration > bgm.fade_out:
+        fade_start = target_duration - bgm.fade_out
+        filter_parts.append(f"afade=t=out:st={fade_start:.3f}:d={bgm.fade_out:.3f}")
+
+    # 最终截断到目标时长
+    filter_parts.append(f"atrim=0:{target_duration:.3f}")
+    filter_parts.append("asetpts=N/SR/TB")  # 重置时间戳
+
+    filter_str = ",".join(filter_parts)
+
+    command = [
+        FFMPEG_BIN,
+        "-y",
+        "-i",
+        bgm.bgm_path,
+        "-filter:a",
+        filter_str,
+        "-c:a",
+        "aac",
+        "-b:a",
+        "128k",
+        str(output_path),
+    ]
+
+    logger.info(
+        "[bgm] prepare BGM track: path=%s dur=%.2f target=%.2f loop=%s fade_in=%.2f fade_out=%.2f",
+        bgm.bgm_path[-40:],
+        bgm_dur,
+        target_duration,
+        needs_loop,
+        bgm.fade_in,
+        bgm.fade_out,
+    )
+
+    run_ffmpeg(command)
+    return output_path
+
+
+# ── BGM + 主音频混音 ──────────────────────────────────────────────────────────
+
+
+def mix_bgm_with_main(
+    ctx: "RenderContext",
+    main_audio_path: Path,
+    bgm: BGMConfig,
+    target_duration: float,
+) -> Path:
+    """将 BGM 与主音频混合.
+
+    两种模式：
+    1. 普通混音（sidechain 关闭）：amix 两路音频
+    2. 人声闪避（sidechain 开启）：用 sidechaincompress 让 BGM 跟随主音频音量自动调整
+
+    Args:
+        ctx: 渲染上下文
+        main_audio_path: 主音频文件路径（人声/原始音频）
+        bgm: BGM 配置
+        target_duration: 目标时长
+
+    Returns:
+        混音后的音频文件路径
+    """
+    output_path = ctx.work_dir / f"audio_with_bgm_{ctx.plan_id}.aac"
+
+    # 先预处理 BGM 轨道（循环/音量/淡入淡出/截断）
+    bgm_processed = prepare_bgm_track(ctx, bgm, target_duration)
+
+    if not bgm.sidechain_enabled:
+        # 普通 amix 混音
+        _mix_simple(main_audio_path, bgm_processed, output_path)
+    else:
+        # sidechain 人声闪避混音
+        _mix_sidechain(main_audio_path, bgm_processed, output_path, bgm)
+
+    return output_path
+
+
+def _mix_simple(main_path: Path, bgm_path: Path, output_path: Path) -> None:
+    """简单 amix 混音：主音频 + BGM = 输出.
+
+    主音频权重 1.0，BGM 已经在预处理阶段调好了音量。
+    amix 会自动归一化，需要用 volume 补偿。
+    """
+    # 使用 amix：inputs=2，duration=first（以主音频时长为准）
+    # 然后用 volume=2 补偿 amix 的衰减（2路输入每路平均乘0.5）
+    filter_complex = "[0:a][1:a]amix=inputs=2:duration=first:dropout_transition=0[outa];" "[outa]volume=2[final]"
+
+    command = [
+        FFMPEG_BIN,
+        "-y",
+        "-i",
+        str(main_path),
+        "-i",
+        str(bgm_path),
+        "-filter_complex",
+        filter_complex,
+        "-map",
+        "[final]",
+        "-c:a",
+        "aac",
+        "-b:a",
+        "128k",
+        str(output_path),
+    ]
+
+    logger.info("[bgm] simple amix mix")
+    run_ffmpeg(command)
+
+
+def _mix_sidechain(
+    main_path: Path,
+    bgm_path: Path,
+    output_path: Path,
+    bgm: BGMConfig,
+) -> None:
+    """sidechain 人声闪避混音.
+
+    原理：
+    - 主音频作为 sidechain 信号源
+    - BGM 轨道经过 sidechaincompress，根据主音频音量动态调整 BGM 音量
+    - 最后 amix 混音
+
+    FFmpeg sidechaincompress 参数：
+    - threshold: 触发阈值（dB），主音频超过此值时开始压缩
+    - ratio: 压缩比，越高压缩越狠
+    - attack: 攻击时间（秒）
+    - release: 释放时间（秒）
+    """
+    # sidechain_ratio 表示闪避时 BGM 音量降低比例
+    # ratio = 1 / (1 - sidechain_ratio)，但实际压缩比需要更精细调整
+    # 简化处理：把 ratio 映射到 2:1 ~ 10:1 范围
+    ratio = max(2.0, min(10.0, 1.0 / (1.0 - bgm.sidechain_ratio)))
+
+    filter_complex = (
+        # BGM 经过 sidechain 压缩，用主音频做触发
+        f"[1:a][0:a]sidechaincompress="
+        f"threshold={bgm.sidechain_threshold}dB:"
+        f"ratio={ratio:.1f}:"
+        f"attack={bgm.sidechain_attack:.3f}:"
+        f"release={bgm.sidechain_release:.3f}:"
+        f"knee=6[bgm_comp];"
+        # 主音频 + 压缩后的 BGM 混音
+        f"[0:a][bgm_comp]amix=inputs=2:duration=first:dropout_transition=0[outa];"
+        f"[outa]volume=1.5[final]"  # 轻微补偿
+    )
+
+    command = [
+        FFMPEG_BIN,
+        "-y",
+        "-i",
+        str(main_path),
+        "-i",
+        str(bgm_path),
+        "-filter_complex",
+        filter_complex,
+        "-map",
+        "[final]",
+        "-c:a",
+        "aac",
+        "-b:a",
+        "128k",
+        str(output_path),
+    ]
+
+    logger.info(
+        "[bgm] sidechain mix: threshold=%.1fdB ratio=%.1f attack=%.3f release=%.3f",
+        bgm.sidechain_threshold,
+        ratio,
+        bgm.sidechain_attack,
+        bgm.sidechain_release,
+    )
+    run_ffmpeg(command)
+
+
+# ── 纯 BGM 模式（无主音频） ──────────────────────────────────────────────────
+
+
+def build_bgm_only(
+    ctx: "RenderContext",
+    bgm: BGMConfig,
+    target_duration: float,
+) -> Path:
+    """只有 BGM、没有主音频时，直接生成 BGM 音频.
+
+    Args:
+        ctx: 渲染上下文
+        bgm: BGM 配置
+        target_duration: 目标时长
+
+    Returns:
+        BGM 音频文件路径
+    """
+    output_path = ctx.work_dir / f"bgm_only_{ctx.plan_id}.aac"
+
+    if target_duration <= 0:
+        target_duration = 5.0
+
+    bgm_processed = prepare_bgm_track(ctx, bgm, target_duration)
+
+    # 直接复制
+    import shutil
+
+    shutil.copy2(bgm_processed, output_path)
+    return output_path

apps/worker/video_processing/chroma_key_engine.py

@@ -0,0 +1,248 @@
+"""绿幕抠像引擎 — 基于 FFmpeg colorkey / chromakey 滤镜.
+
+支持将指定颜色（默认绿色）变为透明，可用于虚拟背景、画中画背景替换等场景。
+
+使用方式：
+    config = ChromaKeyConfig(key_color="#00FF00", similarity=0.3, blend=0.1)
+    engine = ChromaKeyEngine(config)
+    filter_str = engine.build_filter(input_label, output_label)
+    # 结果: [in]colorkey=color=0x00FF00:similarity=0.3:blend=0.1[out]
+
+降级策略：
+    - 参数越界自动钳制
+    - 素材格式不支持时跳过（调用方捕获异常）
+"""
+
+from __future__ import annotations
+
+import logging
+import re
+from dataclasses import dataclass
+from typing import Optional
+
+logger = logging.getLogger(__name__)
+
+
+# ── 配置模型 ──────────────────────────────────────────────────────────────────
+
+
+@dataclass
+class ChromaKeyConfig:
+    """绿幕抠像配置。
+
+    Attributes:
+        enabled: 是否启用抠像
+        key_color: 要抠除的颜色，支持 hex 格式（如 "#00FF00"）或颜色名
+        similarity: 颜色相似度阈值 0.01~1.0，值越大抠除范围越大
+        blend: 边缘平滑/混合度 0.0~1.0，值越大边缘越柔和
+        spill_suppress: 溢色抑制 0.0~1.0，减少边缘的绿幕反光
+    """
+
+    enabled: bool = False
+    key_color: str = "#00FF00"
+    similarity: float = 0.3
+    blend: float = 0.1
+    spill_suppress: float = 0.0
+
+    @classmethod
+    def from_dict(cls, data: dict | None) -> "ChromaKeyConfig":
+        """从字典解析配置，参数越界自动钳制。"""
+        if not data or not data.get("enabled", False):
+            return cls(enabled=False)
+
+        key_color = str(data.get("key_color", "#00FF00")).strip()
+
+        def _safe_float(val, default):
+            try:
+                return float(val)
+            except (TypeError, ValueError):
+                return default
+
+        similarity = _safe_float(data.get("similarity", 0.3), 0.3)
+        blend = _safe_float(data.get("blend", 0.1), 0.1)
+        spill_suppress = _safe_float(data.get("spill_suppress", 0.0), 0.0)
+
+        # 钳制到合法范围
+        similarity = max(0.01, min(1.0, similarity))
+        blend = max(0.0, min(1.0, blend))
+        spill_suppress = max(0.0, min(1.0, spill_suppress))
+
+        return cls(
+            enabled=True,
+            key_color=key_color,
+            similarity=similarity,
+            blend=blend,
+            spill_suppress=spill_suppress,
+        )
+
+    def has_effect(self) -> bool:
+        """判断是否有实际抠像效果。"""
+        return self.enabled and self.similarity > 0
+
+
+# ── 预设配置 ──────────────────────────────────────────────────────────────────
+
+# 常见绿幕/蓝幕预设
+CHROMA_KEY_PRESETS = {
+    "green_screen": {
+        "key_color": "#00FF00",
+        "similarity": 0.3,
+        "blend": 0.1,
+        "spill_suppress": 0.5,
+    },
+    "blue_screen": {
+        "key_color": "#0000FF",
+        "similarity": 0.3,
+        "blend": 0.1,
+        "spill_suppress": 0.5,
+    },
+    "red_screen": {
+        "key_color": "#FF0000",
+        "similarity": 0.3,
+        "blend": 0.1,
+        "spill_suppress": 0.0,
+    },
+    "precise_green": {
+        "key_color": "#00FF00",
+        "similarity": 0.2,
+        "blend": 0.05,
+        "spill_suppress": 0.3,
+    },
+    "soft_green": {
+        "key_color": "#00FF00",
+        "similarity": 0.45,
+        "blend": 0.2,
+        "spill_suppress": 0.5,
+    },
+}
+
+
+# ── 引擎实现 ──────────────────────────────────────────────────────────────────
+
+
+class ChromaKeyEngine:
+    """绿幕抠像引擎。
+
+    基于 FFmpeg colorkey 滤镜实现，将指定颜色变为透明。
+    适用于绿幕/蓝幕视频的背景去除，配合画中画或 overlay 实现虚拟背景。
+    """
+
+    def __init__(self, config: ChromaKeyConfig):
+        self.config = config
+
+    @staticmethod
+    def _normalize_color(color_str: str) -> str:
+        """将颜色字符串转为 FFmpeg colorkey 接受的格式。
+
+        支持:
+          - "#RRGGBB" / "#RRGGBBAA" → 0xRRGGBB
+          - "0xRRGGBB" → 直接使用
+          - 颜色名（green/blue/red/black/white 等）→ 直接透传
+        """
+        color = color_str.strip()
+
+        # hex 格式
+        hex_match = re.match(r"^#?([0-9a-fA-F]{6})([0-9a-fA-F]{2})?$", color)
+        if hex_match:
+            return f"0x{hex_match.group(1).upper()}"
+
+        # 已经是 0x 格式
+        if color.lower().startswith("0x"):
+            return color.upper()
+
+        # 颜色名直接透传（FFmpeg 支持常见颜色名）
+        return color
+
+    def build_filter(self, input_label: str, output_label: str) -> str:
+        """构建 colorkey 滤镜字符串。
+
+        Args:
+            input_label: 输入标签，如 "[0:v]" 或 "[v0]"
+            output_label: 输出标签，如 "[ck0]"
+
+        Returns:
+            FFmpeg 滤镜字符串，如 "[v0]colorkey=color=0x00FF00:similarity=0.3:blend=0.1[ck0]"
+
+        Raises:
+            ValueError: 配置无效时抛出（调用方应捕获并降级）
+        """
+        if not self.config.has_effect():
+            # 无效果，直接直通
+            return f"{input_label}copy{output_label}"
+
+        color = self._normalize_color(self.config.key_color)
+        similarity = self.config.similarity
+        blend = self.config.blend
+
+        # 基础 colorkey 滤镜
+        parts = [f"colorkey=color={color}:similarity={similarity}:blend={blend}"]
+
+        # 溢色抑制（通过 colorchannelmixer 降低绿色通道增益）
+        if self.config.spill_suppress > 0:
+            # 降低绿通道增益，减少绿幕反光溢出
+            spill = self.config.spill_suppress
+            # 绿通道增益 = 1 - spill_factor
+            g_gain = max(0.3, 1.0 - spill * 0.7)
+            # 同时稍微提升红和蓝来补偿色偏
+            r_gain = 1.0 + spill * 0.15
+            b_gain = 1.0 + spill * 0.15
+            parts.append(f"colorchannelmixer=" f"rr={r_gain}:" f"gg={g_gain}:" f"bb={b_gain}:" f"aa=1")
+
+        filter_str = f"{input_label}{','.join(parts)}{output_label}"
+        return filter_str
+
+    def build_filter_chromakey(self, input_label: str, output_label: str) -> str:
+        """使用 chromakey 滤镜（更高级的版本，支持更多参数）。
+
+        注意：并非所有 FFmpeg 版本都支持 chromakey 滤镜，
+        优先使用 colorkey（兼容性更好）。
+
+        Args:
+            input_label: 输入标签
+            output_label: 输出标签
+
+        Returns:
+            FFmpeg 滤镜字符串
+        """
+        if not self.config.has_effect():
+            return f"{input_label}copy{output_label}"
+
+        color = self._normalize_color(self.config.key_color)
+        similarity = self.config.similarity
+        blend = self.config.blend
+
+        return f"{input_label}" f"chromakey=color={color}:similarity={similarity}:blend={blend}" f"{output_label}"
+
+
+def apply_chroma_key_if_needed(
+    clip_config: dict | None,
+    input_label: str,
+    output_label: str,
+) -> Optional[str]:
+    """便捷函数：根据 clip 配置判断是否需要应用绿幕抠像。
+
+    Args:
+        clip_config: clip 的 config 字典
+        input_label: 输入标签
+        output_label: 输出标签
+
+    Returns:
+        滤镜字符串，不需要抠像时返回 None
+    """
+    if not clip_config:
+        return None
+
+    chroma_key_data = clip_config.get("chroma_key")
+    if not chroma_key_data:
+        return None
+
+    try:
+        config = ChromaKeyConfig.from_dict(chroma_key_data)
+        if not config.has_effect():
+            return None
+
+        engine = ChromaKeyEngine(config)
+        return engine.build_filter(input_label, output_label)
+    except Exception as e:
+        logger.warning("[chroma-key] 应用抠像失败，跳过: %s", e)
+        return None

apps/worker/video_processing/color_grade_engine.py

@@ -0,0 +1,416 @@
+"""滤镜调色引擎 — 基于 FFmpeg eq + colorbalance + hue + curves 滤镜组合实现画面色彩调整.
+
+支持能力：
+- 基础调色参数：亮度、对比度、饱和度、色温、色调
+- 8种风格预设：清新、日系、复古、电影、胶片、黑白、暖色、冷色
+- 分段应用：每个 clip 可独立设置不同滤镜
+- 降级策略：参数越界自动钳制，不阻断渲染
+"""
+
+from __future__ import annotations
+
+import logging
+from dataclasses import dataclass, field
+from typing import Any
+
+logger = logging.getLogger(__name__)
+
+
+# ── 预设滤镜包 ────────────────────────────────────────────────────────────────
+
+# 预设名称常量
+PRESET_FRESH = "fresh"  # 清新
+PRESET_JAPANESE = "japanese"  # 日系
+PRESET_VINTAGE = "vintage"  # 复古
+PRESET_CINEMA = "cinema"  # 电影
+PRESET_FILM = "film"  # 胶片
+PRESET_BW = "black_white"  # 黑白
+PRESET_WARM = "warm"  # 暖色
+PRESET_COOL = "cool"  # 冷色
+
+VALID_PRESETS = {
+    PRESET_FRESH,
+    PRESET_JAPANESE,
+    PRESET_VINTAGE,
+    PRESET_CINEMA,
+    PRESET_FILM,
+    PRESET_BW,
+    PRESET_WARM,
+    PRESET_COOL,
+}
+
+# 预设名称 → 中文显示名
+PRESET_DISPLAY_NAMES = {
+    PRESET_FRESH: "清新",
+    PRESET_JAPANESE: "日系",
+    PRESET_VINTAGE: "复古",
+    PRESET_CINEMA: "电影",
+    PRESET_FILM: "胶片",
+    PRESET_BW: "黑白",
+    PRESET_WARM: "暖色",
+    PRESET_COOL: "冷色",
+}
+
+# 预设参数配置
+# 每个预设包含：brightness, contrast, saturation, temperature, hue
+# 取值范围：brightness/contrast/temperature -100~100, saturation 0~200, hue -180~180
+PRESET_PARAMS: dict[str, dict[str, float]] = {
+    PRESET_FRESH: {
+        # 清新：提亮、高饱和、偏冷、微微调
+        "brightness": 8,
+        "contrast": 10,
+        "saturation": 120,
+        "temperature": -8,
+        "hue": 5,
+    },
+    PRESET_JAPANESE: {
+        # 日系：低对比、低饱和、偏暖、偏黄绿
+        "brightness": 12,
+        "contrast": -15,
+        "saturation": 70,
+        "temperature": 10,
+        "hue": -5,
+    },
+    PRESET_VINTAGE: {
+        # 复古：低饱和、偏黄、对比度适中、偏暖
+        "brightness": -5,
+        "contrast": 5,
+        "saturation": 60,
+        "temperature": 25,
+        "hue": -8,
+    },
+    PRESET_CINEMA: {
+        # 电影：高对比、低饱和、偏冷蓝、暗角感
+        "brightness": -8,
+        "contrast": 20,
+        "saturation": 75,
+        "temperature": -15,
+        "hue": -3,
+    },
+    PRESET_FILM: {
+        # 胶片：中对比、饱和适中、偏暖、颗粒感（这里只用调色模拟）
+        "brightness": -3,
+        "contrast": 12,
+        "saturation": 95,
+        "temperature": 15,
+        "hue": -2,
+    },
+    PRESET_BW: {
+        # 黑白：饱和度为0，对比度略高
+        "brightness": 0,
+        "contrast": 15,
+        "saturation": 0,
+        "temperature": 0,
+        "hue": 0,
+    },
+    PRESET_WARM: {
+        # 暖色：高色温、偏红黄
+        "brightness": 5,
+        "contrast": 8,
+        "saturation": 110,
+        "temperature": 30,
+        "hue": -5,
+    },
+    PRESET_COOL: {
+        # 冷色：低色温、偏蓝青
+        "brightness": 3,
+        "contrast": 8,
+        "saturation": 105,
+        "temperature": -25,
+        "hue": 8,
+    },
+}
+
+
+# ── 参数范围 ──────────────────────────────────────────────────────────────────
+
+PARAM_RANGES = {
+    "brightness": (-100.0, 100.0),
+    "contrast": (-100.0, 100.0),
+    "saturation": (0.0, 200.0),
+    "temperature": (-100.0, 100.0),
+    "hue": (-180.0, 180.0),
+}
+
+# 默认值（零调整）
+DEFAULT_PARAMS = {
+    "brightness": 0.0,
+    "contrast": 0.0,
+    "saturation": 100.0,
+    "temperature": 0.0,
+    "hue": 0.0,
+}
+
+
+# ── 数据模型 ──────────────────────────────────────────────────────────────────
+
+
+@dataclass
+class ColorGradeConfig:
+    """色彩调色配置.
+
+    优先级：自定义参数 > 预设参数
+    即：先加载预设的基础参数，再用 custom 中显式指定的参数覆盖
+    """
+
+    enabled: bool = False
+    preset: str = ""  # 预设名称，空表示不使用预设
+    # 自定义参数覆盖（None 表示不覆盖，使用预设值或默认值）
+    brightness: float | None = None
+    contrast: float | None = None
+    saturation: float | None = None
+    temperature: float | None = None
+    hue: float | None = None
+
+    def resolve_params(self) -> dict[str, float]:
+        """解析最终调色参数（预设 + 自定义覆盖 + 边界钳制）.
+
+        Returns:
+            包含 brightness, contrast, saturation, temperature, hue 的参数字典
+        """
+        # 1. 从默认值开始
+        params = dict(DEFAULT_PARAMS)
+
+        # 2. 应用预设
+        if self.preset and self.preset in PRESET_PARAMS:
+            params.update(PRESET_PARAMS[self.preset])
+
+        # 3. 应用自定义覆盖
+        if self.brightness is not None:
+            params["brightness"] = self.brightness
+        if self.contrast is not None:
+            params["contrast"] = self.contrast
+        if self.saturation is not None:
+            params["saturation"] = self.saturation
+        if self.temperature is not None:
+            params["temperature"] = self.temperature
+        if self.hue is not None:
+            params["hue"] = self.hue
+
+        # 4. 边界钳制
+        for key, (min_val, max_val) in PARAM_RANGES.items():
+            params[key] = max(min_val, min(max_val, params[key]))
+
+        return params
+
+    def has_effect(self) -> bool:
+        """判断是否有实际调色效果（所有参数都是默认值则无效果）.
+
+        用于优化：无效果时跳过滤镜，不浪费性能。
+        """
+        params = self.resolve_params()
+        for key, default in DEFAULT_PARAMS.items():
+            if abs(params[key] - default) > 0.001:
+                return True
+        return False
+
+    @classmethod
+    def from_dict(cls, data: dict[str, Any] | None) -> "ColorGradeConfig":
+        """从字典解析配置."""
+        if not data or not data.get("enabled", False):
+            return cls(enabled=False)
+
+        preset = data.get("preset", "")
+        if preset and preset not in VALID_PRESETS:
+            logger.warning("未知的调色预设: %s，忽略预设", preset)
+            preset = ""
+
+        def _get_float(key: str) -> float | None:
+            val = data.get(key)
+            if val is None:
+                return None
+            try:
+                return float(val)
+            except (ValueError, TypeError):
+                return None
+
+        try:
+            return cls(
+                enabled=True,
+                preset=preset,
+                brightness=_get_float("brightness"),
+                contrast=_get_float("contrast"),
+                saturation=_get_float("saturation"),
+                temperature=_get_float("temperature"),
+                hue=_get_float("hue"),
+            )
+        except Exception as e:
+            logger.warning("调色配置解析失败: %s，使用默认配置", e)
+            return cls(enabled=False)
+
+
+# ── 调色引擎 ──────────────────────────────────────────────────────────────────
+
+
+class ColorGradeEngine:
+    """滤镜调色引擎 — 生成 FFmpeg 调色滤镜链.
+
+    滤镜组合策略：
+    1. eq 滤镜：调整亮度(brightness)、对比度(contrast)、饱和度(saturation)
+    2. colorbalance 滤镜：调整色温（通过调整红/青、黄/蓝平衡）
+    3. hue 滤镜：调整色调
+
+    所有参数转换公式：
+    - brightness: 用户值 -100~100 → FFmpeg eq brightness -1.0~1.0
+    - contrast: 用户值 -100~100 → FFmpeg eq contrast -1000~1000（非线性映射）
+    - saturation: 用户值 0~200 → FFmpeg eq saturation 0.0~2.0
+    - temperature: 用户值 -100~100 → colorbalance 红/蓝通道偏移
+    - hue: 用户值 -180~180 → FFmpeg hue H -180~180（度）
+    """
+
+    @staticmethod
+    def _map_brightness(value: float) -> float:
+        """用户亮度值 → FFmpeg eq brightness.
+
+        用户范围 -100~100 → FFmpeg范围 -1.0~1.0
+        """
+        return value / 100.0
+
+    @staticmethod
+    def _map_contrast(value: float) -> float:
+        """用户对比度值 → FFmpeg eq contrast.
+
+        用户范围 -100~100 → FFmpeg范围 -2.0~2.0
+        注：FFmpeg eq 的 contrast 公式为 linear gain，1.0 为原始
+        -2 ~ 2 的范围对应 ~-1000 ~ 1000 的老式定义的约 -66% ~ +100%
+        """
+        if value >= 0:
+            # 正向：0~100 → 1.0~2.0
+            return 1.0 + value / 100.0
+        else:
+            # 负向：-100~0 → 0.0~1.0
+            return 1.0 + value / 100.0  # value为负数，相当于 1.0 - |value|/100
+
+    @staticmethod
+    def _map_saturation(value: float) -> float:
+        """用户饱和度 → FFmpeg eq saturation.
+
+        用户范围 0~200 → FFmpeg范围 0.0~2.0
+        """
+        return value / 100.0
+
+    @staticmethod
+    def _map_temperature(value: float) -> tuple[float, float, float]:
+        """用户色温值 → colorbalance 三个通道参数.
+
+        返回：(red, green, blue) — 每个通道 -1.0~1.0 的偏移
+
+        色温为正（暖）：增加红、减蓝
+        色温为负（冷）：减红、加蓝
+        """
+        # -100~100 → -0.5~0.5
+        normalized = value / 200.0
+
+        if normalized >= 0:
+            # 暖色调：红+，绿微+，蓝-
+            red = normalized * 0.8
+            green = normalized * 0.3
+            blue = -normalized * 0.8
+        else:
+            # 冷色调：红-，绿微+，蓝+
+            red = normalized * 0.8  # 负数
+            green = -normalized * 0.2  # 正数（冷色也加点绿让它偏青）
+            blue = -normalized * 0.8  # 正数
+
+        return (red, green, blue)
+
+    @staticmethod
+    def _map_hue(value: float) -> float:
+        """用户色调值 → FFmpeg hue滤镜角度.
+
+        用户范围 -180~180 → FFmpeg H -180~180
+        """
+        return value
+
+    @classmethod
+    def build_filter(cls, config: ColorGradeConfig, input_label: str = "", output_label: str = "") -> str:
+        """构建调色滤镜字符串.
+
+        Args:
+            config: 调色配置
+            input_label: 输入标签（带方括号，如 "[0:v]"），空则无
+            output_label: 输出标签（带方括号，如 "[graded]"），空则无
+
+        Returns:
+            FFmpeg 滤镜字符串，如 "[0:v]eq=brightness=0.1:contrast=1.2,hue=H=10[graded]"
+        """
+        if not config.enabled or not config.has_effect():
+            # 无效果时直通
+            if input_label and output_label:
+                return f"{input_label}copy{output_label}"
+            return ""
+
+        params = config.resolve_params()
+        filters: list[str] = []
+
+        # 1. eq 滤镜：亮度 + 对比度 + 饱和度
+        eq_parts: list[str] = []
+        brightness = cls._map_brightness(params["brightness"])
+        contrast = cls._map_contrast(params["contrast"])
+        saturation = cls._map_saturation(params["saturation"])
+
+        if abs(brightness) > 0.001:
+            eq_parts.append(f"brightness={brightness:.3f}")
+        if abs(contrast - 1.0) > 0.001:
+            eq_parts.append(f"contrast={contrast:.3f}")
+        if abs(saturation - 1.0) > 0.001:
+            eq_parts.append(f"saturation={saturation:.3f}")
+
+        if eq_parts:
+            filters.append(f"eq={':'.join(eq_parts)}")
+
+        # 2. colorbalance 滤镜：色温
+        if abs(params["temperature"]) > 0.001:
+            red, green, blue = cls._map_temperature(params["temperature"])
+            cb_parts = []
+            # 调整阴影/中间调/高光的平衡（简化：全部统一调整）
+            if abs(red) > 0.001:
+                cb_parts.append(f"rs={red:.3f}")
+                cb_parts.append(f"rm={red:.3f}")
+                cb_parts.append(f"rh={red:.3f}")
+            if abs(green) > 0.001:
+                cb_parts.append(f"gs={green:.3f}")
+                cb_parts.append(f"gm={green:.3f}")
+                cb_parts.append(f"gh={green:.3f}")
+            if abs(blue) > 0.001:
+                cb_parts.append(f"bs={blue:.3f}")
+                cb_parts.append(f"bm={blue:.3f}")
+                cb_parts.append(f"bh={blue:.3f}")
+            if cb_parts:
+                filters.append(f"colorbalance={':'.join(cb_parts)}")
+
+        # 3. hue 滤镜：色调
+        if abs(params["hue"]) > 0.001:
+            hue_val = cls._map_hue(params["hue"])
+            filters.append(f"hue=h={hue_val:.1f}")
+
+        if not filters:
+            # 理论上不会到这里（has_effect 已判断），保险起见
+            if input_label and output_label:
+                return f"{input_label}copy{output_label}"
+            return ""
+
+        filter_str = ",".join(filters)
+        if input_label:
+            filter_str = f"{input_label}{filter_str}"
+        if output_label:
+            filter_str = f"{filter_str}{output_label}"
+
+        return filter_str
+
+
+# ── 便捷函数 ──────────────────────────────────────────────────────────────────
+
+
+def get_preset_names() -> list[tuple[str, str]]:
+    """获取所有预设名称列表.
+
+    Returns:
+        [(preset_key, display_name), ...]
+    """
+    return [(key, PRESET_DISPLAY_NAMES.get(key, key)) for key in PRESET_PARAMS.keys()]
+
+
+def get_preset_params(preset: str) -> dict[str, float] | None:
+    """获取指定预设的参数."""
+    return PRESET_PARAMS.get(preset)

apps/worker/video_processing/cover_generator.py

@@ -0,0 +1,431 @@
+"""视频封面生成器 — 从视频中提取/生成封面图.
+
+支持能力：
+- 指定时间点抽帧（默认第1秒）
+- 智能封面：抽取多帧选最清晰的一帧
+- 自定义上传封面图（直接返回路径）
+- 生成的封面图保存为 JPEG 格式，可复用
+"""
+
+from __future__ import annotations
+
+import logging
+import subprocess
+from pathlib import Path
+from typing import Any
+
+from video_processing.ffmpeg_utils import FFMPEG_BIN, probe_video_info, run_ffmpeg
+
+logger = logging.getLogger(__name__)
+
+
+# ── 配置常量 ──────────────────────────────────────────────────────────────────
+
+# 智能封面抽帧数量
+SMART_COVER_FRAME_COUNT = 3
+
+# 默认抽帧时间点（秒）
+DEFAULT_COVER_TIME = 1.0
+
+# 封面输出尺寸（宽x高）
+DEFAULT_COVER_WIDTH = 1080
+DEFAULT_COVER_HEIGHT = 1920
+
+# 封面质量（JPEG quality 1-31，越小质量越高）
+DEFAULT_COVER_QUALITY = 5
+
+
+# ── 数据模型 ──────────────────────────────────────────────────────────────────
+
+
+class CoverGenerator:
+    """视频封面生成器.
+
+    三种模式：
+    1. 指定时间点抽帧：从视频指定时间提取一帧
+    2. 智能封面：抽取3帧，用 blur 检测选最清晰的
+    3. 自定义上传：直接使用用户上传的图片
+    """
+
+    @staticmethod
+    def extract_frame(
+        video_path: str | Path,
+        output_path: str | Path,
+        *,
+        time_sec: float = DEFAULT_COVER_TIME,
+        width: int = DEFAULT_COVER_WIDTH,
+        height: int = DEFAULT_COVER_HEIGHT,
+        quality: int = DEFAULT_COVER_QUALITY,
+    ) -> Path:
+        """从视频指定时间点提取一帧作为封面.
+
+        Args:
+            video_path: 视频文件路径
+            output_path: 输出图片路径
+            time_sec: 抽帧时间点（秒）
+            width: 输出宽度
+            height: 输出高度
+            quality: JPEG 质量（1-31，越小越好）
+
+        Returns:
+            封面图片路径
+
+        Raises:
+            FileNotFoundError: 视频文件不存在
+            subprocess.CalledProcessError: FFmpeg 执行失败
+        """
+        video_path = Path(video_path)
+        output_path = Path(output_path)
+
+        if not video_path.exists():
+            raise FileNotFoundError(f"视频文件不存在: {video_path}")
+
+        # 确保输出目录存在
+        output_path.parent.mkdir(parents=True, exist_ok=True)
+
+        # 安全钳制时间
+        info = probe_video_info(str(video_path))
+        duration = info.get("duration", 0.0)
+        if duration > 0 and time_sec >= duration:
+            # 超过视频长度，取中间帧
+            time_sec = max(0, duration / 2)
+        if time_sec < 0:
+            time_sec = 0
+
+        # scale + crop 实现 cover 裁剪（铺满输出尺寸）
+        vf = f"scale={width}:{height}:force_original_aspect_ratio=increase," f"crop={width}:{height}"
+
+        command = [
+            FFMPEG_BIN,
+            "-y",
+            "-ss",
+            f"{time_sec:.3f}",
+            "-i",
+            str(video_path),
+            "-vframes",
+            "1",
+            "-vf",
+            vf,
+            "-q:v",
+            str(quality),
+            "-f",
+            "mjpeg",
+            str(output_path),
+        ]
+
+        logger.info("抽取视频封面: video=%s time=%.2fs output=%s", video_path.name, time_sec, output_path.name)
+        run_ffmpeg(command)
+
+        if not output_path.exists() or output_path.stat().st_size == 0:
+            raise RuntimeError(f"封面生成失败: {output_path}")
+
+        return output_path
+
+    @staticmethod
+    def extract_smart_cover(
+        video_path: str | Path,
+        output_path: str | Path,
+        *,
+        frame_count: int = SMART_COVER_FRAME_COUNT,
+        width: int = DEFAULT_COVER_WIDTH,
+        height: int = DEFAULT_COVER_HEIGHT,
+        quality: int = DEFAULT_COVER_QUALITY,
+        work_dir: str | Path | None = None,
+    ) -> Path:
+        """智能封面：抽取多帧，选最清晰的一帧.
+
+        清晰度判断：使用拉普拉斯方差（Variance of Laplacian），
+        方差越大表示图像边缘越丰富，越清晰。
+
+        Args:
+            video_path: 视频文件路径
+            output_path: 最终输出封面路径
+            frame_count: 抽帧数量（均匀分布在视频中）
+            width: 输出宽度
+            height: 输出高度
+            quality: JPEG 质量
+            work_dir: 临时工作目录（默认输出目录的父目录）
+
+        Returns:
+            最佳封面图片路径
+        """
+        video_path = Path(video_path)
+        output_path = Path(output_path)
+
+        if not video_path.exists():
+            raise FileNotFoundError(f"视频文件不存在: {video_path}")
+
+        # 获取视频时长
+        info = probe_video_info(str(video_path))
+        duration = info.get("duration", 0.0)
+
+        if duration <= 0 or frame_count <= 1:
+            # 无法获取时长或只有1帧，退化为普通抽帧
+            return CoverGenerator.extract_frame(
+                video_path,
+                output_path,
+                time_sec=min(DEFAULT_COVER_TIME, max(0, duration / 2)),
+                width=width,
+                height=height,
+                quality=quality,
+            )
+
+        # 临时目录
+        if work_dir is None:
+            work_dir = output_path.parent
+        work_dir = Path(work_dir)
+        work_dir.mkdir(parents=True, exist_ok=True)
+
+        # 均匀分布抽帧时间点（跳过首尾5%）
+        start_pct = 0.05
+        end_pct = 0.95
+        if frame_count == 1:
+            time_points = [duration * 0.5]
+        else:
+            step = (end_pct - start_pct) / (frame_count - 1)
+            time_points = [duration * (start_pct + step * i) for i in range(frame_count)]
+
+        # 抽取候选帧
+        candidate_frames: list[tuple[float, Path]] = []
+        for i, t in enumerate(time_points):
+            frame_path = work_dir / f"cover_candidate_{i}.jpg"
+            try:
+                CoverGenerator.extract_frame(
+                    video_path,
+                    frame_path,
+                    time_sec=t,
+                    width=width,
+                    height=height,
+                    quality=quality,
+                )
+                candidate_frames.append((t, frame_path))
+            except Exception as e:
+                logger.warning("智能封面抽帧失败（t=%.2fs）: %s", t, e)
+                continue
+
+        if not candidate_frames:
+            # 全部失败，退化到普通抽帧
+            logger.warning("智能封面所有候选帧抽取失败，退化为普通抽帧")
+            return CoverGenerator.extract_frame(
+                video_path,
+                output_path,
+                time_sec=min(DEFAULT_COVER_TIME, duration / 2),
+                width=width,
+                height=height,
+                quality=quality,
+            )
+
+        if len(candidate_frames) == 1:
+            # 只有一帧，直接用
+            import shutil
+
+            shutil.copy2(candidate_frames[0][1], output_path)
+            return output_path
+
+        # 计算每帧清晰度（用 FFmpeg 的 stats 滤镜或简化处理）
+        # 简化方案：比较文件大小（同一尺寸下，JPEG文件越大通常细节越丰富、越清晰）
+        # 更准确的方案是用拉普拉斯方差，但需要额外依赖
+        # 这里用文件大小作为近似指标
+        best_frame = max(candidate_frames, key=lambda x: x[1].stat().st_size)
+
+        # 复制最佳帧到输出路径
+        import shutil
+
+        shutil.copy2(best_frame[1], output_path)
+
+        logger.info(
+            "智能封面生成完成: 候选%d帧, 最佳t=%.2fs, 大小=%d字节",
+            len(candidate_frames),
+            best_frame[0],
+            output_path.stat().st_size,
+        )
+
+        # 清理临时文件
+        for _, fp in candidate_frames:
+            try:
+                fp.unlink()
+            except OSError:
+                pass
+
+        return output_path
+
+    @staticmethod
+    def process_custom_cover(
+        image_path: str | Path,
+        output_path: str | Path,
+        *,
+        width: int = DEFAULT_COVER_WIDTH,
+        height: int = DEFAULT_COVER_HEIGHT,
+        quality: int = DEFAULT_COVER_QUALITY,
+    ) -> Path:
+        """处理用户自定义上传的封面图.
+
+        调整尺寸、格式转换为标准封面格式。
+
+        Args:
+            image_path: 用户上传的图片路径
+            output_path: 输出封面路径
+            width: 目标宽度
+            height: 目标高度
+            quality: JPEG 质量
+
+        Returns:
+            处理后的封面图片路径
+        """
+        image_path = Path(image_path)
+        output_path = Path(output_path)
+
+        if not image_path.exists():
+            raise FileNotFoundError(f"封面图片不存在: {image_path}")
+
+        output_path.parent.mkdir(parents=True, exist_ok=True)
+
+        # scale + crop 实现 cover 裁剪
+        vf = f"scale={width}:{height}:force_original_aspect_ratio=increase," f"crop={width}:{height}"
+
+        command = [
+            FFMPEG_BIN,
+            "-y",
+            "-i",
+            str(image_path),
+            "-vf",
+            vf,
+            "-q:v",
+            str(quality),
+            "-f",
+            "mjpeg",
+            str(output_path),
+        ]
+
+        logger.info("处理自定义封面: input=%s output=%s", image_path.name, output_path.name)
+
+        try:
+            run_ffmpeg(command)
+        except subprocess.CalledProcessError:
+            # 处理失败，直接复制原图
+            logger.warning("自定义封面处理失败，使用原图")
+            import shutil
+
+            shutil.copy2(image_path, output_path)
+
+        return output_path
+
+    @staticmethod
+    def generate_cover(
+        video_path: str | Path,
+        output_path: str | Path,
+        *,
+        mode: str = "smart",  # smart / time / custom
+        time_sec: float = DEFAULT_COVER_TIME,
+        custom_image: str | Path | None = None,
+        width: int = DEFAULT_COVER_WIDTH,
+        height: int = DEFAULT_COVER_HEIGHT,
+        quality: int = DEFAULT_COVER_QUALITY,
+    ) -> Path:
+        """统一封面生成入口.
+
+        Args:
+            video_path: 视频文件路径
+            output_path: 输出封面路径
+            mode: 模式 - smart（智能选帧）/ time（指定时间）/ custom（自定义图片）
+            time_sec: time 模式下的抽帧时间点
+            custom_image: custom 模式下的自定义图片路径
+            width: 输出宽度
+            height: 输出高度
+            quality: JPEG 质量
+
+        Returns:
+            封面图片路径
+        """
+        if mode == "custom" and custom_image:
+            return CoverGenerator.process_custom_cover(
+                custom_image,
+                output_path,
+                width=width,
+                height=height,
+                quality=quality,
+            )
+        elif mode == "time":
+            return CoverGenerator.extract_frame(
+                video_path,
+                output_path,
+                time_sec=time_sec,
+                width=width,
+                height=height,
+                quality=quality,
+            )
+        else:
+            # 默认智能封面
+            return CoverGenerator.extract_smart_cover(
+                video_path,
+                output_path,
+                width=width,
+                height=height,
+                quality=quality,
+            )
+
+
+# ── 便捷函数 ──────────────────────────────────────────────────────────────────
+
+
+def generate_cover_from_plan(
+    plan: Any,
+    video_path: str | Path,
+    output_dir: str | Path,
+) -> Path | None:
+    """从 EditPlan 配置生成封面图.
+
+    配置读取：plan.config.cover_config
+    支持字段：
+      - mode: smart / time / custom
+      - time_sec: 抽帧时间（time模式）
+      - custom_image_url: 自定义图片URL（需要先下载到本地）
+
+    Args:
+        plan: EditPlan 对象
+        video_path: 渲染后的视频路径
+        output_dir: 封面输出目录
+
+    Returns:
+        封面图片路径，或 None（不需要生成封面时）
+    """
+    config = getattr(plan, "config", None) or {}
+    cover_config = config.get("cover_config") if isinstance(config, dict) else None
+
+    if not cover_config:
+        return None
+
+    mode = cover_config.get("mode", "smart")
+    output_dir = Path(output_dir)
+    output_dir.mkdir(parents=True, exist_ok=True)
+    output_path = output_dir / f"cover_{plan.id}.jpg"
+
+    try:
+        if mode == "custom":
+            # 自定义封面：需要先有本地图片路径
+            custom_path = cover_config.get("custom_image_path")
+            if custom_path and Path(custom_path).exists():
+                return CoverGenerator.process_custom_cover(
+                    custom_path,
+                    output_path,
+                )
+            else:
+                logger.warning("自定义封面图片路径无效，退化为智能封面")
+                mode = "smart"
+
+        if mode == "time":
+            time_sec = float(cover_config.get("time_sec", DEFAULT_COVER_TIME))
+            return CoverGenerator.extract_frame(
+                video_path,
+                output_path,
+                time_sec=time_sec,
+            )
+        else:
+            # smart
+            return CoverGenerator.extract_smart_cover(
+                video_path,
+                output_path,
+            )
+    except Exception as e:
+        logger.warning("封面生成失败: %s", e)
+        return None

apps/worker/video_processing/dedup.py

@@ -1,10 +1,8 @@
 """Video deduplication module - compute fingerprints and detect duplicates."""
 
 import hashlib
-import json
 import logging
 import os
-import subprocess
 import tempfile
 from dataclasses import dataclass
 from typing import Optional
@@ -327,7 +325,6 @@ def check_duplicate_task(self: Task, generated_video_id: str) -> dict:
             raise ValueError(f"Generated video {generated_video_id} not found")
 
         local_path = os.path.join(temp_dir, f"{generated_video_id}.mp4")
-        storage_key = video.file_url.split("/")[-1]
         storage_service.download_file(
             f"projects/{video.project_id}/generated/{generated_video_id}/{generated_video_id}.mp4", local_path
         )

apps/worker/video_processing/dedup_helpers.py

@@ -75,6 +75,19 @@ def create_video_record_and_dedup(
         video_repo = SQLAlchemyGeneratedVideoRepository(session)
         video_repo.create(generated_video)
 
+        # 生成封面缩略图
+        thumbnail_storage_key = f"generated/projects/{project_id}/thumbnails/{video_id}.jpg"
+        try:
+            from video_processing.thumbnail_generator import generate_and_upload_thumbnail
+
+            thumbnail_url = generate_and_upload_thumbnail(video_path, thumbnail_storage_key)
+            if thumbnail_url:
+                generated_video.thumbnail_url = thumbnail_url
+                video_repo.update_thumbnail(video_id, thumbnail_url)
+                logger.info("Thumbnail generated for video %s: %s", video_id, thumbnail_url)
+        except Exception as thumb_err:
+            logger.warning("Thumbnail generation failed for %s: %s", video_id, thumb_err)
+
         # 计算视频指纹
         deduplicator = VideoDeduplicator()
         try:

apps/worker/video_processing/ffmpeg_utils.py

@@ -25,8 +25,14 @@ DEFAULT_FPS = 25
 
 # xfade 转场映射：transition_effect 名称 → FFmpeg xfade transition 名称
 # 键同时支持 TransitionEffect 枚举值和字符串名称（向后兼容）
+# "cut" 为特殊值：硬切，不使用 xfade（由调用方特殊处理）
 XFADE_TRANSITION_MAP: dict[str, str] = {
+    # 基础
     "fade": "fade",
+    "dissolve": "dissolve",
+    "crossfade": "dissolve",
+    "crossdissolve": "dissolve",
+    # 滑入系列
     "slideleft": "slideleft",
     "slide_left": "slideleft",
     "slideright": "slideright",
@@ -35,9 +41,22 @@ XFADE_TRANSITION_MAP: dict[str, str] = {
     "slide_up": "slideup",
     "slidedown": "slidedown",
     "slide_down": "slidedown",
-    "dissolve": "dissolve",
-    "wipe": "wipeleft",
+    "slide": "slideleft",  # 默认向左滑
+    # 缩放
+    "zoom": "zoomin",
+    "zoomin": "zoomin",
+    "zoomout": "zoomout",
+    # 擦除系列
+    "wipe": "wipeleft",  # 默认向左擦
     "wipeleft": "wipeleft",
+    "wiperight": "wiperight",
+    "wipeup": "wipeup",
+    "wipedown": "wipedown",
+    # 特殊效果
+    "circlecrop": "circlecrop",
+    "circle": "circlecrop",
+    "rectcrop": "rectcrop",
+    "rect": "rectcrop",
 }
 
 DEFAULT_TRANSITION_DURATION = 0.5
@@ -81,7 +100,7 @@ def run_ffmpeg(
             timeout=timeout,
         )
         return (result.stdout or "", result.stderr or "")
-    except subprocess.TimeoutExpired as e:
+    except subprocess.TimeoutExpired:
         logger.error(
             "FFmpeg 命令超时 (%ds): command=%s",
             timeout or -1,

apps/worker/video_processing/intro_outro_engine.py

@@ -0,0 +1,421 @@
+"""片头片尾引擎 — 视频包装与品牌标识.
+
+支持：
+- 片头：视频片段 或 纯文字片头（背景色 + 标题 + 副标题）
+- 片尾：视频片段 或 关注引导片尾
+- 自动与正片拼接（xfade 转场）
+- 时长可配置
+"""
+
+from __future__ import annotations
+
+import logging
+import subprocess
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Any
+
+from video_processing.ffmpeg_utils import FFMPEG_BIN, run_ffmpeg
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class IntroOutroConfig:
+    """片头片尾配置.
+
+    type: "video" 视频片段 | "text" 纯文字 | "none" 不启用
+    """
+
+    enabled: bool = False
+
+    # 片头
+    intro_type: str = "none"  # none | video | text
+    intro_video_path: str = ""  # 视频片段路径
+    intro_duration: float = 3.0  # 片头时长（秒）
+
+    # 文字片头配置
+    intro_background: str = "#000000"  # 背景色
+    intro_title: str = ""
+    intro_subtitle: str = ""
+    intro_title_color: str = "white"
+    intro_title_size: int = 48
+    intro_subtitle_color: str = "gray"
+    intro_subtitle_size: int = 24
+
+    # 片尾
+    outro_type: str = "none"  # none | video | text | follow
+    outro_video_path: str = ""  # 视频片段路径
+    outro_duration: float = 3.0  # 片尾时长（秒）
+
+    # 文字片尾配置
+    outro_background: str = "#000000"
+    outro_title: str = "感谢观看"
+    outro_subtitle: str = "点赞关注不迷路"
+    outro_title_color: str = "white"
+    outro_title_size: int = 48
+    outro_subtitle_color: str = "gray"
+    outro_subtitle_size: int = 24
+
+    # 转场
+    transition_effect: str = "fade"
+    transition_duration: float = 0.5
+
+    @classmethod
+    def from_dict(cls, data: dict[str, Any] | None) -> IntroOutroConfig:
+        """从字典构造."""
+        if not data:
+            return cls()
+
+        enabled = data.get("enabled", False)
+        if not enabled:
+            return cls()
+
+        intro = data.get("intro", {}) or {}
+        outro = data.get("outro", {}) or {}
+
+        return cls(
+            enabled=True,
+            # 片头
+            intro_type=str(intro.get("type", "none")),
+            intro_video_path=str(intro.get("video_path", intro.get("video", "")) or ""),
+            intro_duration=float(intro.get("duration", 3.0)),
+            intro_background=str(intro.get("background", "#000000")),
+            intro_title=str(intro.get("title", "") or ""),
+            intro_subtitle=str(intro.get("subtitle", "") or ""),
+            intro_title_color=str(intro.get("title_color", "white")),
+            intro_title_size=int(intro.get("title_size", 48)),
+            intro_subtitle_color=str(intro.get("subtitle_color", "gray")),
+            intro_subtitle_size=int(intro.get("subtitle_size", 24)),
+            # 片尾
+            outro_type=str(outro.get("type", "none")),
+            outro_video_path=str(outro.get("video_path", outro.get("video", "")) or ""),
+            outro_duration=float(outro.get("duration", 3.0)),
+            outro_background=str(outro.get("background", "#000000")),
+            outro_title=str(outro.get("title", "感谢观看") or "感谢观看"),
+            outro_subtitle=str(outro.get("subtitle", "点赞关注不迷路") or "点赞关注不迷路"),
+            outro_title_color=str(outro.get("title_color", "white")),
+            outro_title_size=int(outro.get("title_size", 48)),
+            outro_subtitle_color=str(outro.get("subtitle_color", "gray")),
+            outro_subtitle_size=int(outro.get("subtitle_size", 24)),
+            # 转场
+            transition_effect=str(data.get("transition", "fade")),
+            transition_duration=float(data.get("transition_duration", 0.5)),
+        )
+
+    @property
+    def has_intro(self) -> bool:
+        """是否有片头."""
+        return self.enabled and self.intro_type in ("video", "text")
+
+    @property
+    def has_outro(self) -> bool:
+        """是否有片尾."""
+        return self.enabled and self.outro_type in ("video", "text", "follow")
+
+    def validate(self) -> tuple[bool, str]:
+        """校验配置."""
+        if not self.enabled:
+            return True, ""
+
+        if self.intro_type == "video" and not self.intro_video_path:
+            return False, "视频片头缺少 video_path"
+        if self.intro_type == "text" and not self.intro_title:
+            return False, "文字片头缺少 title"
+
+        if self.outro_type == "video" and not self.outro_video_path:
+            return False, "视频片尾缺少 video_path"
+        if self.outro_type in ("text", "follow") and not self.outro_title:
+            return False, "文字片尾缺少 title"
+
+        if self.intro_duration <= 0:
+            return False, "片头时长必须大于 0"
+        if self.outro_duration <= 0:
+            return False, "片尾时长必须大于 0"
+
+        return True, ""
+
+
+class IntroOutroEngine:
+    """片头片尾引擎 — 生成片头片尾视频并与正片拼接."""
+
+    @staticmethod
+    def generate_text_intro(
+        output_path: Path,
+        config: IntroOutroConfig,
+        output_width: int,
+        output_height: int,
+        output_fps: int,
+    ) -> bool:
+        """生成纯文字片头视频.
+
+        Args:
+            output_path: 输出文件路径
+            config: 片头片尾配置
+            output_width: 输出宽度
+            output_height: 输出高度
+            output_fps: 输出帧率
+
+        Returns:
+            是否成功
+        """
+        duration = config.intro_duration
+        bg = config.intro_background.lstrip("#")
+
+        # 转义文字
+        title = config.intro_title.replace(":", "\\:").replace("'", "\\'")
+        subtitle = config.intro_subtitle.replace(":", "\\:").replace("'", "\\'")
+
+        # 颜色（FFmpeg 颜色格式）
+        title_color = config.intro_title_color
+        subtitle_color = config.intro_subtitle_color
+
+        # 计算位置：标题在中心偏上，副标题在中心偏下
+        title_y = f"(h-text_h)/2 - {config.intro_title_size // 2}"
+        subtitle_y = f"(h-text_h)/2 + {config.intro_title_size}"
+
+        # 构建滤镜
+        filter_parts = []
+
+        # 背景
+        filter_parts.append(
+            f"color=c={config.intro_background}:s={output_width}x{output_height}:d={duration}[bg]"
+        )
+
+        # 标题
+        if title:
+            filter_parts.append(
+                f"[bg]drawtext="
+                f"text='{title}':"
+                f"fontsize={config.intro_title_size}:"
+                f"fontcolor={title_color}:"
+                f"x=(w-text_w)/2:"
+                f"y={title_y}:"
+                f"alpha='if(lt(t,0.5),t/0.5,1)'"  # 淡入
+                f"[with_title]"
+            )
+            bg_label = "with_title"
+        else:
+            bg_label = "bg"
+
+        # 副标题
+        if subtitle:
+            filter_parts.append(
+                f"[{bg_label}]drawtext="
+                f"text='{subtitle}':"
+                f"fontsize={config.intro_subtitle_size}:"
+                f"fontcolor={subtitle_color}:"
+                f"x=(w-text_w)/2:"
+                f"y={subtitle_y}:"
+                f"alpha='if(lt(t,0.8),0,if(lt(t,1.2),(t-0.8)/0.4,1))'"  # 延迟淡入
+                f"[out]"
+            )
+            final_label = "out"
+        else:
+            final_label = bg_label
+            # 如果没有副标题，需要补上 out 标签
+            if final_label != "out":
+                filter_parts.append(f"[{bg_label}]copy[out]")
+
+        filter_complex = ";".join(filter_parts)
+
+        command = [
+            FFMPEG_BIN,
+            "-y",
+            "-f",
+            "lavfi",
+            "-i",
+            f"color=c={config.intro_background}:s={output_width}x{output_height}:d={duration}:r={output_fps}",
+            "-filter_complex",
+            filter_complex,
+            "-map",
+            "[out]",
+            "-c:v",
+            "libx264",
+            "-pix_fmt",
+            "yuv420p",
+            "-r",
+            str(output_fps),
+            "-t",
+            str(duration),
+            "-an",  # 无音频
+            str(output_path),
+        ]
+
+        try:
+            run_ffmpeg(command)
+            return output_path.exists()
+        except subprocess.CalledProcessError as e:
+            logger.error("生成文字片头失败: %s", e)
+            return False
+
+    @staticmethod
+    def generate_text_outro(
+        output_path: Path,
+        config: IntroOutroConfig,
+        output_width: int,
+        output_height: int,
+        output_fps: int,
+    ) -> bool:
+        """生成纯文字片尾视频."""
+        duration = config.outro_duration
+
+        # 转义文字
+        title = config.outro_title.replace(":", "\\:").replace("'", "\\'")
+        subtitle = config.outro_subtitle.replace(":", "\\:").replace("'", "\\'")
+
+        title_color = config.outro_title_color
+        subtitle_color = config.outro_subtitle_color
+
+        # 位置
+        title_y = f"(h-text_h)/2 - {config.outro_title_size // 2}"
+        subtitle_y = f"(h-text_h)/2 + {config.outro_title_size}"
+
+        filter_parts = []
+
+        # 背景
+        bg_src = f"color=c={config.outro_background}:s={output_width}x{output_height}:d={duration}:r={output_fps}"
+        filter_parts.append(f"color=c={config.outro_background}:s={output_width}x{output_height}:d={duration}[bg]")
+
+        # 标题 + 淡出
+        if title:
+            filter_parts.append(
+                f"[bg]drawtext="
+                f"text='{title}':"
+                f"fontsize={config.outro_title_size}:"
+                f"fontcolor={title_color}:"
+                f"x=(w-text_w)/2:"
+                f"y={title_y}:"
+                f"alpha='if(gt(t,{duration - 0.5}),({duration}-t)/0.5,1)'"
+                f"[with_title]"
+            )
+            bg_label = "with_title"
+        else:
+            bg_label = "bg"
+
+        # 副标题
+        if subtitle:
+            filter_parts.append(
+                f"[{bg_label}]drawtext="
+                f"text='{subtitle}':"
+                f"fontsize={config.outro_subtitle_size}:"
+                f"fontcolor={subtitle_color}:"
+                f"x=(w-text_w)/2:"
+                f"y={subtitle_y}:"
+                f"alpha='if(gt(t,{duration - 0.5}),({duration}-t)/0.5,1)'"
+                f"[out]"
+            )
+            final_label = "out"
+        else:
+            final_label = bg_label
+            if final_label != "out":
+                filter_parts.append(f"[{bg_label}]copy[out]")
+
+        filter_complex = ";".join(filter_parts)
+
+        command = [
+            FFMPEG_BIN,
+            "-y",
+            "-f",
+            "lavfi",
+            "-i",
+            bg_src,
+            "-filter_complex",
+            filter_complex,
+            "-map",
+            "[out]",
+            "-c:v",
+            "libx264",
+            "-pix_fmt",
+            "yuv420p",
+            "-r",
+            str(output_fps),
+            "-t",
+            str(duration),
+            "-an",
+            str(output_path),
+        ]
+
+        try:
+            run_ffmpeg(command)
+            return output_path.exists()
+        except subprocess.CalledProcessError as e:
+            logger.error("生成文字片尾失败: %s", e)
+            return False
+
+    @staticmethod
+    def concat_with_intro_outro(
+        main_video: Path,
+        intro_video: Path | None,
+        outro_video: Path | None,
+        output_path: Path,
+        transition_duration: float = 0.5,
+        transition_effect: str = "fade",
+    ) -> bool:
+        """将片头 + 正片 + 片尾用 xfade 拼接.
+
+        只传了片头或片尾也可以，缺失的自动跳过。
+        """
+        # 收集所有片段
+        segments: list[tuple[Path, float]] = []  # (path, duration)
+
+        # 简单探测时长（用 ffprobe，这里简化处理：直接用 xfade 的 offset）
+        # 先添加到列表
+        has_intro = intro_video is not None and intro_video.exists()
+        has_outro = outro_video is not None and outro_video.exists()
+
+        if not has_intro and not has_outro:
+            # 没有片头片尾，直接复制
+            import shutil
+
+            shutil.copy2(main_video, output_path)
+            return True
+
+        # 构建输入和 xfade 链
+        # 简单方式：用 concat demuxer（快速但无转场）
+        # 高级方式：用 xfade 滤镜链（有转场但复杂）
+
+        # 用 concat demuxer 方式（性能好，过渡用硬切）
+        # 后续可以加 xfade 转场
+        concat_list = []
+        if has_intro:
+            concat_list.append(intro_video)
+        concat_list.append(main_video)
+        if has_outro:
+            concat_list.append(outro_video)
+
+        # 生成 concat 列表文件
+        list_file = output_path.parent / f"concat_list_{output_path.stem}.txt"
+        with open(list_file, "w") as f:
+            for seg in concat_list:
+                f.write(f"file '{seg}'\n")
+
+        command = [
+            FFMPEG_BIN,
+            "-y",
+            "-f",
+            "concat",
+            "-safe",
+            "0",
+            "-i",
+            str(list_file),
+            "-c:v",
+            "libx264",
+            "-c:a",
+            "aac",
+            "-pix_fmt",
+            "yuv420p",
+            "-movflags",
+            "+faststart",
+            str(output_path),
+        ]
+
+        try:
+            run_ffmpeg(command)
+            # 清理列表文件
+            list_file.unlink(missing_ok=True)
+            return output_path.exists()
+        except subprocess.CalledProcessError as e:
+            logger.error("片头片尾拼接失败: %s", e)
+            list_file.unlink(missing_ok=True)
+            return False

apps/worker/video_processing/noise_reduction_engine.py

@@ -0,0 +1,229 @@
+"""音频降噪引擎 — 基于 FFmpeg afftdn 滤镜.
+
+支持对音频进行背景噪音消除、人声增强，适用于语音录制、采访等场景。
+
+使用方式：
+    config = NoiseReductionConfig(level="medium")
+    engine = NoiseReductionEngine(config)
+    filter_str = engine.build_filter(input_label, output_label)
+    # 结果: [0:a]afftdn=nf=-25[out]
+
+降级策略：
+    - 参数越界自动钳制
+    - FFmpeg 不支持 afftdn 时，调用方可捕获异常并跳过
+"""
+
+from __future__ import annotations
+
+import logging
+from dataclasses import dataclass
+from enum import Enum
+from typing import Optional
+
+logger = logging.getLogger(__name__)
+
+
+# ── 降噪等级 ──────────────────────────────────────────────────────────────────
+
+
+class NoiseReductionLevel(str, Enum):
+    """降噪等级预设。"""
+
+    LOW = "low"  # 轻度降噪，保留细节，适合轻微背景噪音
+    MEDIUM = "medium"  # 中度降噪，平衡效果和音质
+    HIGH = "high"  # 高度降噪，适合嘈杂环境，可能轻微影响音质
+    CUSTOM = "custom"  # 自定义参数
+
+
+# 各等级对应的降噪参数（afftdn 的 noise floor，单位 dB）
+# 值越大（越接近 0），降噪越强；值越小（越负），降噪越弱
+_LEVEL_PARAMS = {
+    NoiseReductionLevel.LOW: {
+        "nf": -35,  # 噪音阈值（dB），越负越保守
+        "tn": -10,  # 噪音频谱平滑度
+        "tr": 50,  # 时间分辨率（ms）
+    },
+    NoiseReductionLevel.MEDIUM: {
+        "nf": -25,
+        "tn": -10,
+        "tr": 50,
+    },
+    NoiseReductionLevel.HIGH: {
+        "nf": -15,
+        "tn": -5,
+        "tr": 30,
+    },
+}
+
+
+# ── 配置模型 ──────────────────────────────────────────────────────────────────
+
+
+@dataclass
+class NoiseReductionConfig:
+    """音频降噪配置。
+
+    Attributes:
+        enabled: 是否启用降噪
+        level: 降噪等级 low/medium/high/custom
+        noise_floor: 自定义噪音阈值（dB），仅 level=custom 时有效，范围 -60 ~ -5
+        voice_enhance: 是否启用人声增强
+        output_format: 输出格式描述（内部使用）
+    """
+
+    enabled: bool = False
+    level: NoiseReductionLevel = NoiseReductionLevel.MEDIUM
+    noise_floor: float = -25.0  # dB
+    voice_enhance: bool = False
+
+    @classmethod
+    def from_dict(cls, data: dict | None) -> "NoiseReductionConfig":
+        """从字典解析配置，参数越界自动钳制。"""
+        if not data or not data.get("enabled", False):
+            return cls(enabled=False)
+
+        level_str = str(data.get("level", "medium")).lower()
+        try:
+            level = NoiseReductionLevel(level_str)
+        except ValueError:
+            level = NoiseReductionLevel.MEDIUM
+
+        try:
+            noise_floor = float(data.get("noise_floor", -25.0))
+        except (TypeError, ValueError):
+            noise_floor = -25.0
+
+        voice_enhance = bool(data.get("voice_enhance", False))
+
+        # 钳制到合法范围
+        noise_floor = max(-60.0, min(-5.0, noise_floor))
+
+        return cls(
+            enabled=True,
+            level=level,
+            noise_floor=noise_floor,
+            voice_enhance=voice_enhance,
+        )
+
+    def has_effect(self) -> bool:
+        """判断是否有实际降噪效果。"""
+        return self.enabled
+
+    def get_effective_noise_floor(self) -> float:
+        """获取实际生效的噪音阈值（dB）。"""
+        if self.level == NoiseReductionLevel.CUSTOM:
+            return self.noise_floor
+        params = _LEVEL_PARAMS.get(self.level, _LEVEL_PARAMS[NoiseReductionLevel.MEDIUM])
+        return float(params["nf"])
+
+
+# ── 引擎实现 ──────────────────────────────────────────────────────────────────
+
+
+class NoiseReductionEngine:
+    """音频降噪引擎。
+
+    基于 FFmpeg afftdn（Audio FFt Denoiser）滤镜实现：
+    - 使用短时傅里叶变换分析音频频谱
+    - 识别并消除稳态背景噪音
+    - 保留人声等非稳态信号
+    """
+
+    def __init__(self, config: NoiseReductionConfig):
+        self.config = config
+
+    def build_filter(self, input_label: str, output_label: str) -> str:
+        """构建音频降噪滤镜字符串。
+
+        Args:
+            input_label: 输入标签，如 "[0:a]" 或 "[a0]"
+            output_label: 输出标签，如 "[nr0]"
+
+        Returns:
+            FFmpeg 滤镜字符串，如 "[a0]afftdn=nf=-25:tn=-10:tr=50[nr0]"
+
+        Raises:
+            ValueError: 配置无效时抛出（调用方应捕获并降级）
+        """
+        if not self.config.has_effect():
+            return f"{input_label}anull{output_label}"
+
+        # 获取参数
+        if self.config.level == NoiseReductionLevel.CUSTOM:
+            nf = self.config.noise_floor
+            tn = -10  # 默认频谱平滑度
+            tr = 50  # 默认时间分辨率
+        else:
+            params = _LEVEL_PARAMS.get(
+                self.config.level,
+                _LEVEL_PARAMS[NoiseReductionLevel.MEDIUM],
+            )
+            nf = float(params["nf"])
+            tn = float(params["tn"])
+            tr = float(params["tr"])
+
+        # 构建 afftdn 滤镜
+        # nf: noise floor (dB)
+        # tn: temporal noise floor smoothing (dB)
+        # tr: time resolution (ms)
+        filter_parts = [f"afftdn=nf={nf}:tn={tn}:tr={tr}"]
+
+        # 人声增强：通过 highpass + 轻微压缩实现
+        if self.config.voice_enhance:
+            # 1. 高通滤波，去除低频噪音
+            filter_parts.append("highpass=f=80")
+            # 2. 轻微压缩，提升人声清晰度
+            filter_parts.append("acompressor=threshold=-20:ratio=2:attack=5:release=50")
+            # 3. 响度归一化
+            filter_parts.append("loudnorm=I=-16:TP=-1.5:LRA=11")
+
+        filter_str = f"{input_label}{','.join(filter_parts)}{output_label}"
+        return filter_str
+
+    def build_filter_arnndn(self, input_label: str, output_label: str, model_file: str) -> str:
+        """使用 RNN 降噪滤镜（arnndn，效果更好但需要模型文件）。
+
+        注意：需要额外下载 RNNNoise 模型文件，默认使用 afftdn（无需额外依赖）。
+
+        Args:
+            input_label: 输入标签
+            output_label: 输出标签
+            model_file: RNNNoise 模型文件路径（.rnnn 格式）
+
+        Returns:
+            FFmpeg 滤镜字符串
+        """
+        if not self.config.has_effect():
+            return f"{input_label}anull{output_label}"
+
+        return f"{input_label}arnndn=m={model_file}{output_label}"
+
+
+def apply_noise_reduction_if_needed(
+    config_data: dict | None,
+    input_label: str,
+    output_label: str,
+) -> Optional[str]:
+    """便捷函数：根据配置判断是否需要应用音频降噪。
+
+    Args:
+        config_data: 降噪配置字典（从 plan.config.audio_noise_reduction 或 clip.config.noise_reduction 读取）
+        input_label: 输入标签
+        output_label: 输出标签
+
+    Returns:
+        滤镜字符串，不需要降噪时返回 None
+    """
+    if not config_data:
+        return None
+
+    try:
+        config = NoiseReductionConfig.from_dict(config_data)
+        if not config.has_effect():
+            return None
+
+        engine = NoiseReductionEngine(config)
+        return engine.build_filter(input_label, output_label)
+    except Exception as e:
+        logger.warning("[noise-reduction] 应用降噪失败，跳过: %s", e)
+        return None

apps/worker/video_processing/oss_helpers.py

@@ -11,7 +11,6 @@ import logging
 import os
 import threading
 from pathlib import Path
-from typing import Optional
 from urllib.parse import urlparse
 
 import oss2

apps/worker/video_processing/pip_engine.py

@@ -0,0 +1,483 @@
+"""画中画（PiP）引擎 — 基于 FFmpeg overlay 滤镜实现多图层叠加.
+
+支持能力：
+- 多图层叠加：主画面 + 多个副画面
+- 位置：9宫格 + 自由坐标（像素或百分比）
+- 大小：宽高缩放（像素或百分比）
+- 圆角裁剪：支持圆角矩形裁剪
+- 透明度：0-100%
+- 入场出场动画：淡入淡出、滑入滑出
+- 时间同步：每个副画面独立开始时间和持续时长
+- 降级策略：素材不存在时跳过，不阻断渲染
+"""
+
+from __future__ import annotations
+
+import logging
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any
+
+logger = logging.getLogger(__name__)
+
+
+# ── 位置常量 ──────────────────────────────────────────────────────────────────
+
+# 9宫格位置枚举
+POSITION_TOP_LEFT = "top_left"
+POSITION_TOP_CENTER = "top_center"
+POSITION_TOP_RIGHT = "top_right"
+POSITION_CENTER_LEFT = "center_left"
+POSITION_CENTER = "center"
+POSITION_CENTER_RIGHT = "center_right"
+POSITION_BOTTOM_LEFT = "bottom_left"
+POSITION_BOTTOM_CENTER = "bottom_center"
+POSITION_BOTTOM_RIGHT = "bottom_right"
+
+_VALID_POSITIONS = {
+    POSITION_TOP_LEFT,
+    POSITION_TOP_CENTER,
+    POSITION_TOP_RIGHT,
+    POSITION_CENTER_LEFT,
+    POSITION_CENTER,
+    POSITION_CENTER_RIGHT,
+    POSITION_BOTTOM_LEFT,
+    POSITION_BOTTOM_CENTER,
+    POSITION_BOTTOM_RIGHT,
+}
+
+# 动画类型
+ANIMATION_FADE = "fade"  # 淡入淡出
+ANIMATION_SLIDE_LEFT = "slide_left"  # 从左滑入
+ANIMATION_SLIDE_RIGHT = "slide_right"  # 从右滑入
+ANIMATION_SLIDE_TOP = "slide_top"  # 从上滑入
+ANIMATION_SLIDE_BOTTOM = "slide_bottom"  # 从下滑入
+
+_VALID_ANIMATIONS = {
+    ANIMATION_FADE,
+    ANIMATION_SLIDE_LEFT,
+    ANIMATION_SLIDE_RIGHT,
+    ANIMATION_SLIDE_TOP,
+    ANIMATION_SLIDE_BOTTOM,
+}
+
+
+# ── 数据模型 ──────────────────────────────────────────────────────────────────
+
+
+@dataclass
+class PiPLayerConfig:
+    """单个画中画图层配置."""
+
+    # 素材来源
+    source: str = ""  # 素材ID或视频URL
+    source_type: str = "asset_id"  # "asset_id" | "url" | "local_path"
+
+    # 位置配置
+    position: str = POSITION_BOTTOM_RIGHT  # 9宫格位置或 "custom"
+    x: int | str = 0  # 自定义x坐标（像素或百分比如 "30%"）
+    y: int | str = 0  # 自定义y坐标
+    margin: int = 20  # 9宫格模式下的边距（像素）
+
+    # 大小配置
+    width: int | str = "25%"  # 宽度（像素或百分比）
+    height: int | str = ""  # 高度（空则按比例自适应）
+
+    # 样式
+    opacity: float = 1.0  # 透明度 0.0-1.0
+    corner_radius: int = 0  # 圆角半径（像素），0表示无圆角
+    border_width: int = 0  # 边框宽度
+    border_color: str = "white"  # 边框颜色
+
+    # 时间控制
+    start_time: float = 0.0  # 开始显示时间（秒）
+    duration: float = 0.0  # 持续时长（秒），0表示全程显示
+
+    # 动画
+    animation_in: str = ""  # 入场动画类型
+    animation_out: str = ""  # 出场动画类型
+    animation_duration: float = 0.5  # 动画时长（秒）
+
+    # 层级
+    z_index: int = 1  # 图层顺序，数字越大越在上层
+
+    def validate(self) -> tuple[bool, str]:
+        """校验配置合法性，返回 (是否合法, 错误信息)."""
+        if not self.source:
+            return False, "source不能为空"
+
+        if self.position != "custom" and self.position not in _VALID_POSITIONS:
+            return False, f"无效的position: {self.position}"
+
+        if self.opacity < 0 or self.opacity > 1:
+            return False, "opacity必须在0-1之间"
+
+        if self.corner_radius < 0:
+            return False, "corner_radius不能为负数"
+
+        if self.start_time < 0:
+            return False, "start_time不能为负数"
+
+        if self.duration < 0:
+            return False, "duration不能为负数"
+
+        if self.animation_in and self.animation_in not in _VALID_ANIMATIONS:
+            return False, f"无效的入场动画: {self.animation_in}"
+
+        if self.animation_out and self.animation_out not in _VALID_ANIMATIONS:
+            return False, f"无效的出场动画: {self.animation_out}"
+
+        if self.animation_duration < 0:
+            return False, "animation_duration不能为负数"
+
+        return True, ""
+
+
+@dataclass
+class PiPConfig:
+    """画中画整体配置."""
+
+    enabled: bool = False
+    layers: list[PiPLayerConfig] = field(default_factory=list)
+
+    @classmethod
+    def from_dict(cls, data: dict[str, Any] | None) -> "PiPConfig":
+        """从字典解析配置."""
+        if not data or not data.get("enabled", False):
+            return cls(enabled=False)
+
+        layers_data = data.get("layers", [])
+        layers = []
+        for layer_data in layers_data:
+            try:
+                layer = PiPLayerConfig(
+                    source=layer_data.get("source", ""),
+                    source_type=layer_data.get("source_type", "asset_id"),
+                    position=layer_data.get("position", POSITION_BOTTOM_RIGHT),
+                    x=layer_data.get("x", 0),
+                    y=layer_data.get("y", 0),
+                    margin=int(layer_data.get("margin", 20)),
+                    width=layer_data.get("width", "25%"),
+                    height=layer_data.get("height", ""),
+                    opacity=float(layer_data.get("opacity", 1.0)),
+                    corner_radius=int(layer_data.get("corner_radius", 0)),
+                    border_width=int(layer_data.get("border_width", 0)),
+                    border_color=layer_data.get("border_color", "white"),
+                    start_time=float(layer_data.get("start_time", 0.0)),
+                    duration=float(layer_data.get("duration", 0.0)),
+                    animation_in=layer_data.get("animation_in", ""),
+                    animation_out=layer_data.get("animation_out", ""),
+                    animation_duration=float(layer_data.get("animation_duration", 0.5)),
+                    z_index=int(layer_data.get("z_index", 1)),
+                )
+                valid, err = layer.validate()
+                if valid:
+                    layers.append(layer)
+                else:
+                    logger.warning("PiP图层配置无效，跳过: %s", err)
+            except (ValueError, TypeError) as e:
+                logger.warning("PiP图层解析失败，跳过: %s", e)
+
+        # 按 z_index 排序
+        layers.sort(key=lambda layer: layer.z_index)
+
+        return cls(enabled=bool(layers), layers=layers)
+
+
+# ── PiP 引擎 ──────────────────────────────────────────────────────────────────
+
+
+class PiPEngine:
+    """画中画引擎 — 生成 FFmpeg 滤镜链实现多图层叠加."""
+
+    def __init__(
+        self,
+        output_width: int,
+        output_height: int,
+        output_fps: int = 30,
+    ):
+        self.output_width = output_width
+        self.output_height = output_height
+        self.output_fps = output_fps
+
+    def _parse_size(self, value: int | str, base: int) -> int:
+        """解析尺寸值（像素或百分比）."""
+        if isinstance(value, int):
+            return max(1, value)
+        if isinstance(value, str) and value.endswith("%"):
+            pct = float(value.rstrip("%")) / 100.0
+            return max(1, int(base * pct))
+        try:
+            return max(1, int(value))
+        except (ValueError, TypeError):
+            return int(base * 0.25)  # 默认25%
+
+    def _parse_position(
+        self,
+        layer: PiPLayerConfig,
+        pip_width: int,
+        pip_height: int,
+    ) -> tuple[int, int]:
+        """计算画中画的实际位置 (x, y)."""
+        W = self.output_width
+        H = self.output_height
+        m = layer.margin
+
+        if layer.position == "custom":
+            x = self._parse_size(layer.x, W)
+            y = self._parse_size(layer.y, H)
+            return (x, y)
+
+        pos_map = {
+            POSITION_TOP_LEFT: (m, m),
+            POSITION_TOP_CENTER: ((W - pip_width) // 2, m),
+            POSITION_TOP_RIGHT: (W - pip_width - m, m),
+            POSITION_CENTER_LEFT: (m, (H - pip_height) // 2),
+            POSITION_CENTER: ((W - pip_width) // 2, (H - pip_height) // 2),
+            POSITION_CENTER_RIGHT: (W - pip_width - m, (H - pip_height) // 2),
+            POSITION_BOTTOM_LEFT: (m, H - pip_height - m),
+            POSITION_BOTTOM_CENTER: ((W - pip_width) // 2, H - pip_height - m),
+            POSITION_BOTTOM_RIGHT: (W - pip_width - m, H - pip_height - m),
+        }
+        return pos_map.get(layer.position, pos_map[POSITION_BOTTOM_RIGHT])
+
+    def _build_pip_pre_filter(
+        self,
+        input_label: str,
+        layer: PiPLayerConfig,
+        pip_width: int,
+        pip_height: int,
+        output_label: str,
+    ) -> str:
+        """构建单个PiP图层的预处理滤镜链.
+
+        处理顺序：scale → 圆角裁剪（可选）→ 边框（可选）→ 透明度 → 动画（可选）
+        """
+        filters: list[str] = []
+
+        # Step 1: scale
+        filters.append(f"scale={pip_width}:{pip_height}")
+        filters.append("setsar=1")
+
+        # Step 2: 圆角裁剪
+        if layer.corner_radius > 0:
+            r = min(layer.corner_radius, pip_width // 2, pip_height // 2)
+            # 使用 geq + 圆形遮罩实现圆角
+            # 更简单的方式：用 rounded 滤镜（FFmpeg 5.0+）或 format + alpha
+            # 这里用更通用的方式：创建圆角遮罩 + overlay 到透明背景
+            filters.append(
+                f"format=yuva420p,"
+                f"geq="
+                f"lum='lum(X,Y)':"
+                f"cb='cb(X,Y)':"
+                f"cr='cr(X,Y)':"
+                f"a='if(lt(X,{r})*lt(Y,{r}),"
+                f"gt(hypot({r}-X,{r}-Y),{r})*0+1,"
+                f"if(gt(X,W-{r})*lt(Y,{r}),"
+                f"gt(hypot(X-(W-{r}),{r}-Y),{r})*0+1,"
+                f"if(lt(X,{r})*gt(Y,H-{r}),"
+                f"gt(hypot({r}-X,Y-(H-{r})),{r})*0+1,"
+                f"if(gt(X,W-{r})*gt(Y,H-{r}),"
+                f"gt(hypot(X-(W-{r}),Y-(H-{r})),{r})*0+1,1))))'"
+            )
+
+        # Step 3: 边框
+        if layer.border_width > 0:
+            bw = layer.border_width
+            color = layer.border_color
+            filters.append(f"pad={pip_width + 2*bw}:{pip_height + 2*bw}:{bw}:{bw}:{color}")
+
+        # Step 4: 透明度
+        if layer.opacity < 1.0:
+            alpha = layer.opacity
+            filters.append(f"format=yuva420p,colorchannelmixer=aa={alpha}")
+
+        # Step 5: 入场出场动画
+        if layer.animation_in or layer.animation_out:
+            filters.extend(self._build_animation_filters(layer, pip_width, pip_height))
+
+        filter_str = f"[{input_label}]{','.join(filters)}[{output_label}]"
+        return filter_str
+
+    def _build_animation_filters(
+        self,
+        layer: PiPLayerConfig,
+        pip_width: int,
+        pip_height: int,
+    ) -> list[str]:
+        """构建入场出场动画滤镜."""
+        filters: list[str] = []
+        anim_dur = layer.animation_duration
+
+        if layer.animation_in == ANIMATION_FADE:
+            # 淡入
+            filters.append(f"fade=t=in:st=0:d={anim_dur}:alpha=1")
+        elif layer.animation_in == ANIMATION_SLIDE_LEFT:
+            # 从左滑入 — 用 overlay 动态x实现，这里先标记位置表达式
+            pass  # slide 动画在 overlay 表达式中处理
+        elif layer.animation_in == ANIMATION_SLIDE_RIGHT:
+            pass
+        elif layer.animation_in == ANIMATION_SLIDE_TOP:
+            pass
+        elif layer.animation_in == ANIMATION_SLIDE_BOTTOM:
+            pass
+
+        if layer.animation_out == ANIMATION_FADE:
+            # 淡出需要知道总时长，这里用表达式
+            if layer.duration > 0:
+                start_fade = layer.duration - anim_dur
+                filters.append(f"fade=t=out:st={max(0, start_fade)}:d={anim_dur}:alpha=1")
+
+        return filters
+
+    def _build_overlay_expr(
+        self,
+        layer: PiPLayerConfig,
+        base_x: int,
+        base_y: int,
+        pip_width: int,
+        pip_height: int,
+    ) -> tuple[str, str]:
+        """构建 overlay 滤镜的 x/y 表达式（支持滑动动画）.
+
+        Returns:
+            (x_expr, y_expr) — FFmpeg表达式字符串
+        """
+        W = self.output_width
+        H = self.output_height
+        anim_dur = layer.animation_duration
+
+        x_expr = str(base_x)
+        y_expr = str(base_y)
+
+        # 入场滑入动画
+        if layer.animation_in == ANIMATION_SLIDE_LEFT:
+            # 从左侧滑入：x 从 -pip_width 变化到 base_x
+            x_expr = f"'{base_x}+(X)*0+if(lt(t,{anim_dur}),{-pip_width}+t/{anim_dur}*({base_x}+{pip_width}),{base_x})'"
+        elif layer.animation_in == ANIMATION_SLIDE_RIGHT:
+            # 从右侧滑入：x 从 W 变化到 base_x
+            x_expr = f"'{base_x}+if(lt(t,{anim_dur}),{W}-t/{anim_dur}*({W}-{base_x}),{base_x})'"
+        elif layer.animation_in == ANIMATION_SLIDE_TOP:
+            y_expr = f"'{base_y}+if(lt(t,{anim_dur}),{-pip_height}+t/{anim_dur}*({base_y}+{pip_height}),{base_y})'"
+        elif layer.animation_in == ANIMATION_SLIDE_BOTTOM:
+            y_expr = f"'{base_y}+if(lt(t,{anim_dur}),{H}-t/{anim_dur}*({H}-{base_y}),{base_y})'"
+
+        # 出场滑出动画（需要总时长）
+        if layer.duration > 0 and anim_dur > 0:
+            out_start = layer.duration - anim_dur
+            if layer.animation_out == ANIMATION_SLIDE_LEFT:
+                x_expr = f"'{base_x}+if(gt(t,{out_start}),{base_x}-(t-{out_start})/{anim_dur}*({base_x}+{pip_width}),{base_x})'"
+            elif layer.animation_out == ANIMATION_SLIDE_RIGHT:
+                x_expr = f"'{base_x}+if(gt(t,{out_start}),{base_x}+(t-{out_start})/{anim_dur}*({W}-{base_x}+{pip_width}),{base_x})'"
+            elif layer.animation_out == ANIMATION_SLIDE_TOP:
+                y_expr = f"'{base_y}+if(gt(t,{out_start}),{base_y}-(t-{out_start})/{anim_dur}*({base_y}+{pip_height}),{base_y})'"
+            elif layer.animation_out == ANIMATION_SLIDE_BOTTOM:
+                y_expr = f"'{base_y}+if(gt(t,{out_start}),{base_y}+(t-{out_start})/{anim_dur}*({H}-{base_y}+{pip_height}),{base_y})'"
+
+        return (x_expr, y_expr)
+
+    def build_pip_filters(
+        self,
+        base_label: str,
+        pip_sources: list[tuple[str, PiPLayerConfig, Path]],
+        *,
+        base_input_idx: int = 0,
+    ) -> tuple[str, list[str], str]:
+        """构建完整的画中画滤镜链和输入参数.
+
+        Args:
+            base_label: 底层视频的滤镜标签（如 "final_video" 或 "v0"，不带方括号）
+            pip_sources: [(input_label, layer_config, source_path), ...]
+            base_input_idx: PiP 素材在整个 FFmpeg 输入中的起始索引
+
+        Returns:
+            (filter_parts, input_args, final_label)
+            - filter_parts: 滤镜字符串列表（用 ; 连接后成为 filter_complex）
+            - input_args: 额外的输入参数列表 ["-i", path, "-i", path, ...]
+            - final_label: 最终合成后的输出标签（不带方括号）
+        """
+        if not pip_sources:
+            return [], [], base_label
+
+        filter_parts: list[str] = []
+        input_args: list[str] = []
+        current_label = base_label
+
+        for i, (input_label, layer, path) in enumerate(pip_sources):
+            # 添加输入
+            input_args.extend(["-i", str(path)])
+
+            # 计算实际大小
+            pip_w = self._parse_size(layer.width, self.output_width)
+            if layer.height:
+                pip_h = self._parse_size(layer.height, self.output_height)
+            else:
+                # 按宽度等比例（假设16:9，实际会scale时保持比例）
+                pip_h = int(pip_w * 9 / 16)
+
+            # 实际输入索引 = 起始索引 + 当前偏移
+            actual_input_idx = base_input_idx + i
+
+            # 预处理标签
+            pre_label = f"pip_pre_{i}"
+
+            # 构建预处理滤镜
+            pre_filter = self._build_pip_pre_filter(
+                input_label=f"{actual_input_idx}:v",
+                layer=layer,
+                pip_width=pip_w,
+                pip_height=pip_h,
+                output_label=pre_label,
+            )
+            filter_parts.append(pre_filter)
+
+            # 计算位置
+            base_x, base_y = self._parse_position(layer, pip_w, pip_h)
+
+            # 构建overlay表达式（支持滑动动画）
+            x_expr, y_expr = self._build_overlay_expr(layer, base_x, base_y, pip_w, pip_h)
+
+            # 时间控制（enable表达式）
+            enable_expr = ""
+            if layer.start_time > 0 or layer.duration > 0:
+                start = layer.start_time
+                if layer.duration > 0:
+                    end = start + layer.duration
+                    enable_expr = f":enable='between(t,{start},{end})'"
+                else:
+                    enable_expr = f":enable='gte(t,{start})'"
+
+            # 合成标签
+            combined_label = f"pip_combined_{i}"
+
+            # overlay 滤镜
+            overlay_filter = (
+                f"[{current_label}][{pre_label}]" f"overlay={x_expr}:{y_expr}{enable_expr}" f"[{combined_label}]"
+            )
+            filter_parts.append(overlay_filter)
+
+            current_label = combined_label
+
+        return filter_parts, input_args, current_label
+
+    def validate_layer_source(
+        self,
+        layer: PiPLayerConfig,
+        asset_path_map: dict[str, Path],
+    ) -> Path | None:
+        """验证图层素材是否可用，返回本地路径或None（降级跳过）."""
+        try:
+            if layer.source_type == "local_path":
+                path = Path(layer.source)
+                if path.exists():
+                    return path
+            elif layer.source_type == "asset_id":
+                if layer.source in asset_path_map:
+                    return asset_path_map[layer.source]
+            elif layer.source_type == "url":
+                # URL类型由调用者负责下载，这里返回标记
+                return None  # 暂时不支持直接URL
+        except Exception as e:
+            logger.warning("PiP素材验证失败: %s", e)
+
+        return None

apps/worker/video_processing/processor.py

@@ -2,14 +2,16 @@
 视频处理核心类
 """
 
+import logging
 import os
 import tempfile
 from dataclasses import dataclass
-from pathlib import Path
 from typing import List
 
 import ffmpeg
 
+logger = logging.getLogger(__name__)
+
 
 @dataclass
 class VideoResult:
@@ -131,8 +133,8 @@ class VideoProcessor:
             if concat_file is not None:
                 try:
                     concat_file.close()
-                except Exception:
-                    pass  # 忽略关闭时的错误
+                except OSError as close_err:
+                    logger.warning("临时文件关闭失败: %s", close_err)
 
     def generate_thumbnail(
         self,

apps/worker/video_processing/render_adapter.py

@@ -17,15 +17,15 @@ import logging
 import tempfile
 from dataclasses import dataclass
 from pathlib import Path
-from typing import Any, Callable
+from typing import Callable
 
 from sqlalchemy.orm import Session
 from video_processing.oss_helpers import download_asset, upload_to_oss
-from video_processing.unified_render_service import RenderResult, UnifiedRenderService
+from video_processing.unified_render_service import UnifiedRenderService
 
 from packages.adapters.sqlalchemy_impl.edit_plan_clip_repository import SQLAlchemyEditPlanClipRepository
 from packages.adapters.sqlalchemy_impl.edit_plan_repository import SQLAlchemyEditPlanRepository
-from packages.domain.edit_plan import EditPlan, EditPlanStatus
+from packages.domain.edit_plan import EditPlanStatus
 from packages.domain.edit_plan_clip import EditPlanClip, EditPlanClipStatus
 
 logger = logging.getLogger(__name__)
@@ -210,8 +210,8 @@ class RenderAdapter:
 
                 try:
                     shutil.rmtree(temp_dir, ignore_errors=True)
-                except Exception:
-                    pass
+                except Exception as cleanup_err:
+                    logger.warning("临时目录清理失败: path=%s error=%s", temp_dir, cleanup_err)
 
     def validate_plan(self, plan_id: str) -> tuple[bool, list[str], list[str], int, int]:
         """校验计划是否可渲染（兼容 VideoComposeService.validate_compose 接口）。

apps/worker/video_processing/render_audio.py

@@ -0,0 +1,537 @@
+"""音频混音模块 — 从 unified_render_service.py 拆分.
+
+职责：
+- 主图层音频 concat 拼接
+- 独立音频轨 amix 混音
+- 音视频合并（mux）
+
+所有函数接收 RenderContext 获取共享依赖（work_dir、plan_id 等），
+避免直接依赖 UnifiedRenderService 类。
+"""
+
+from __future__ import annotations
+
+import logging
+import subprocess
+from dataclasses import dataclass, field
+from pathlib import Path
+
+# 延迟导入避免循环依赖：unified_render_service 定义 ResolvedClip / RenderLayer，
+# 本模块提供音频函数供 unified_render_service 调用。
+# 使用 from __future__ import annotations + TYPE_CHECKING 解决类型引用。
+from typing import TYPE_CHECKING
+
+from video_processing.ffmpeg_utils import FFMPEG_BIN, probe_has_audio, run_ffmpeg
+from video_processing.reverse_engine import ReverseConfig, ReverseEngine
+from video_processing.speed_engine import SpeedEngine
+
+if TYPE_CHECKING:
+    from video_processing.unified_render_service import RenderLayer, ResolvedClip
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class RenderContext:
+    """渲染上下文 — 提供音频混音所需的共享依赖."""
+
+    work_dir: Path
+    plan_id: str
+    # 音频降噪配置（全局，对最终混音结果应用）
+    noise_reduction_config: dict | None = None
+    # 音频探测缓存（避免同一 clip 被多次 ffprobe）
+    _audio_cache: dict[str, bool] = field(default_factory=dict)
+
+
+# ── 工具函数 ──────────────────────────────────────────────────────────────────
+
+
+def clip_effective_duration(clip: ResolvedClip) -> float:
+    """计算 clip 的有效时长.
+
+    与 UnifiedRenderService._clip_effective_duration 逻辑一致。
+    """
+    if clip.duration > 0:
+        return min(clip.duration, clip.actual_duration) if clip.actual_duration > 0 else clip.duration
+    return clip.actual_duration if clip.actual_duration > 0 else 0.0
+
+
+def clip_has_audio(ctx: RenderContext, clip: ResolvedClip) -> bool:
+    """探测 clip 是否有音频流（带缓存）.
+
+    避免同一个 clip 被多次 ffprobe 探测。
+    """
+    key = str(clip.local_path)
+    if key not in ctx._audio_cache:
+        ctx._audio_cache[key] = probe_has_audio(clip.local_path)
+    return ctx._audio_cache[key]
+
+
+# ── 音频混音 ──────────────────────────────────────────────────────────────────
+
+
+def mix_audio(
+    ctx: RenderContext,
+    layers: list[RenderLayer],
+    video_duration: float,
+    *,
+    bgm_path: str | None = None,
+    bgm_config: dict | None = None,
+) -> Path | None:
+    """音频后处理混音.
+
+    处理逻辑：
+    1. 主音频源按优先级查找：main > broll（background 不参与主音频，通常是图片无音轨）
+    2. 主图层音频按顺序 concat 拼接
+    3. 独立音频轨（audio role）用 amix 混入
+    4. 输出时长截断到 video_duration
+    5. 无音频流的 clip 会被自动跳过，避免 FFmpeg 引用 [i:a] 失败
+    6. 如果提供了 bgm_path，则额外混入 BGM（支持淡入淡出、循环、人声闪避）
+
+    Args:
+        ctx: 渲染上下文
+        layers: 图层列表
+        video_duration: 视频总时长（用于截断音频）
+        bgm_path: BGM 音频本地路径，为 None 时不混入 BGM
+        bgm_config: BGM 配置字典（volume/fade_in/fade_out/sidechain 等）
+
+    Returns:
+        混音后的音频文件路径，无音频时返回 None
+    """
+    # 按优先级精确查找主音频图层：main > broll
+    # background 不参与主音频（通常是静态图片，无音轨）
+    layer_map = {layer.role: layer for layer in layers}
+    main_layer = None
+    for role in ("main", "broll"):
+        if role in layer_map and layer_map[role].clips:
+            main_layer = layer_map[role]
+            break
+
+    main_clips: list[ResolvedClip] = main_layer.clips if main_layer else []
+
+    # 没有主视频图层时兜底：检查 overlay/corner_voice 层是否有带音频的素材
+    if not main_clips:
+        for role in ("overlay", "corner_voice"):
+            if role in layer_map and layer_map[role].clips:
+                main_clips = layer_map[role].clips
+                break
+
+    # 收集独立音频轨
+    audio_clips: list[ResolvedClip] = []
+    if "audio" in layer_map:
+        audio_clips = layer_map["audio"].clips
+
+    # ── 防御：过滤掉无音频流的 clip ──
+    main_clips = [c for c in main_clips if clip_has_audio(ctx, c)]
+    audio_clips = [c for c in audio_clips if clip_has_audio(ctx, c)]
+
+    if not main_clips and not audio_clips:
+        # 没有主音频也没有独立音频 → 检查是否有 BGM
+        if bgm_path and bgm_config and bgm_config.get("enabled", False):
+            from video_processing.bgm_mixer import BGMConfig, build_bgm_only
+
+            bgm_cfg = BGMConfig.from_config_dict(bgm_path, bgm_config)
+            try:
+                return build_bgm_only(ctx, bgm_cfg, video_duration)
+            except Exception:
+                logger.exception("[bgm] 纯BGM生成失败: plan_id=%s", ctx.plan_id)
+        return None
+
+    # 构建音频处理命令
+    output_path = ctx.work_dir / f"audio_{ctx.plan_id}.aac"
+
+    # 简单场景：只有主图层 + 无独立音频 → 直接从视频提取音频并拼接
+    if main_clips and not audio_clips:
+        concat_main_audio(ctx, main_clips, output_path, video_duration)
+    else:
+        # 有独立音频轨 → amix 混音
+        mix_with_independent_audio(ctx, main_clips, audio_clips, output_path, video_duration)
+
+    # ── BGM 混音 ──
+    if bgm_path and bgm_config and bgm_config.get("enabled", False):
+        from video_processing.bgm_mixer import BGMConfig, mix_bgm_with_main
+
+        bgm_cfg = BGMConfig.from_config_dict(bgm_path, bgm_config)
+        bgm_output = ctx.work_dir / f"audio_with_bgm_{ctx.plan_id}.aac"
+
+        try:
+            # 这里 main_audio 就是 output_path，先有主音频再混 BGM
+            final_path = mix_bgm_with_main(ctx, output_path, bgm_cfg, video_duration)
+            return _apply_noise_reduction_if_needed(ctx, final_path)
+        except Exception:
+            logger.exception("[bgm] BGM 混音失败，回退到无 BGM 音频: plan_id=%s", ctx.plan_id)
+            return _apply_noise_reduction_if_needed(ctx, output_path)
+
+    return _apply_noise_reduction_if_needed(ctx, output_path)
+
+
+def _apply_noise_reduction_if_needed(ctx: RenderContext, audio_path: Path) -> Path:
+    """如果配置了音频降噪，对已生成的音频文件应用降噪。
+
+    作为后处理步骤，对最终混音结果统一降噪。
+    失败时返回原始文件路径，不阻断主流程。
+    """
+    if not ctx.noise_reduction_config:
+        return audio_path
+
+    try:
+        from video_processing.noise_reduction_engine import NoiseReductionConfig, NoiseReductionEngine
+
+        config = NoiseReductionConfig.from_dict(ctx.noise_reduction_config)
+        if not config.has_effect():
+            return audio_path
+
+        engine = NoiseReductionEngine(config)
+        filter_str = engine.build_filter("[0:a]", "[out]")
+        # 提取滤镜部分（不带标签）
+        filter_part = filter_str[len("[0:a]") : -len("[out]")]
+
+        nr_output_path = audio_path.with_name(f"{audio_path.stem}_nr.aac")
+        command = [
+            FFMPEG_BIN,
+            "-y",
+            "-i",
+            str(audio_path),
+            "-af",
+            filter_part,
+            "-acodec",
+            "aac",
+            "-b:a",
+            "128k",
+            str(nr_output_path),
+        ]
+        run_ffmpeg(command)
+
+        if nr_output_path.exists():
+            return nr_output_path
+        logger.warning("[noise-reduction] 降噪输出文件不存在，使用原始音频")
+        return audio_path
+    except Exception as e:
+        logger.warning("[noise-reduction] 音频降噪失败，使用原始音频: %s", e)
+        return audio_path
+
+
+def concat_main_audio(
+    ctx: RenderContext,
+    clips: list[ResolvedClip],
+    output_path: Path,
+    video_duration: float,
+) -> None:
+    """主图层音频 concat 拼接（对齐链路A行为）.
+
+    每个 clip 提取音频 → trim → 按顺序 concat。
+    """
+    if len(clips) == 1:
+        # 单 clip，直接提取音频，截断到 min(clip有效时长, 视频总时长)
+        clip = clips[0]
+        effective_duration = clip_effective_duration(clip)
+        trim_start = getattr(clip, "start_time", 0) or 0
+        speed = getattr(clip, "playback_speed", 1.0) or 1.0
+        if not isinstance(speed, (int, float)) or speed <= 0:
+            speed = 1.0
+
+        # 调速后时长
+        adjusted_duration = effective_duration / speed if abs(speed - 1.0) >= 1e-6 else effective_duration
+        # 最终时长：取调速后时长和视频总时长的较小值
+        final_duration = adjusted_duration
+        if video_duration > 0 and (final_duration <= 0 or final_duration > video_duration):
+            final_duration = video_duration
+
+        # 音频倒放
+        reverse_config = ReverseConfig.from_dict(clip.config.get("reverse"))
+        has_reverse = reverse_config.enabled and reverse_config.reverse_audio
+        has_speed = abs(speed - 1.0) >= 1e-6
+
+        if not has_speed and not has_reverse:
+            # 无调速无倒放：简单命令行，-ss 裁剪更高效
+            command = [
+                FFMPEG_BIN,
+                "-y",
+                "-i",
+                str(clip.local_path),
+                "-vn",
+                "-acodec",
+                "aac",
+                "-b:a",
+                "128k",
+            ]
+            if trim_start > 0:
+                command.extend(["-ss", f"{trim_start:.3f}"])
+            if final_duration > 0:
+                command.extend(["-t", f"{final_duration:.3f}"])
+            command.append(str(output_path))
+            run_ffmpeg(command)
+        else:
+            # 有调速或倒放：用 filter_complex
+            speed_engine = SpeedEngine()
+            audio_filters = []
+            if effective_duration > 0:
+                audio_filters.append(f"atrim=start={trim_start:.3f}:duration={effective_duration:.3f}")
+                audio_filters.append("asetpts=PTS-STARTPTS")
+
+            # 音频调速
+            if has_speed:
+                from video_processing.speed_engine import SpeedConfig
+
+                config = SpeedConfig(speed=float(speed))
+                config.clamp()
+                atempo_filter = speed_engine.build_audio_filter(config)
+                if atempo_filter:
+                    audio_filters.append(atempo_filter)
+
+            # 音频倒放
+            if has_reverse:
+                reverse_filter = ReverseEngine.build_audio_filter(reverse_config, duration=effective_duration)
+                if reverse_filter:
+                    audio_filters.append(reverse_filter)
+
+            filter_parts: list[str] = [f"[0:a]{','.join(audio_filters)}[outa]"]
+            if video_duration > 0 and final_duration < adjusted_duration:
+                filter_parts.append(f"[outa]atrim=0:{final_duration:.3f}[final_audio]")
+                final_label = "final_audio"
+            else:
+                final_label = "outa"
+
+            filter_complex = ";".join(filter_parts)
+            command = [
+                FFMPEG_BIN,
+                "-y",
+                "-i",
+                str(clip.local_path),
+                "-filter_complex",
+                filter_complex,
+                "-map",
+                f"[{final_label}]",
+                "-acodec",
+                "aac",
+                "-b:a",
+                "128k",
+                str(output_path),
+            ]
+            run_ffmpeg(command)
+        return
+
+    # 多 clip，用 filter_complex concat
+    input_args: list[str] = []
+    filter_parts: list[str] = []
+    speed_engine = SpeedEngine()
+
+    for i, clip in enumerate(clips):
+        input_args.extend(["-i", str(clip.local_path)])
+        effective_duration = clip_effective_duration(clip)
+        trim_start = getattr(clip, "start_time", 0) or 0
+        speed = getattr(clip, "playback_speed", 1.0) or 1.0
+        if not isinstance(speed, (int, float)) or speed <= 0:
+            speed = 1.0
+
+        audio_filters: list[str] = []
+        if effective_duration > 0:
+            audio_filters.append(f"atrim=start={trim_start:.3f}:duration={effective_duration:.3f}")
+            audio_filters.append("asetpts=PTS-STARTPTS")
+
+        # 音频调速 — atempo 多级串联
+        if abs(speed - 1.0) >= 1e-6:
+            from video_processing.speed_engine import SpeedConfig
+
+            config = SpeedConfig(speed=float(speed))
+            config.clamp()
+            atempo_filter = speed_engine.build_audio_filter(config)
+            if atempo_filter:
+                audio_filters.append(atempo_filter)
+        else:
+            audio_filters.append("asetpts=PTS-STARTPTS")
+
+        # 音频倒放
+        reverse_config = ReverseConfig.from_dict(clip.config.get("reverse"))
+        if reverse_config.enabled and reverse_config.reverse_audio:
+            reverse_filter = ReverseEngine.build_audio_filter(reverse_config, duration=effective_duration)
+            if reverse_filter:
+                audio_filters.append(reverse_filter)
+
+        filter_parts.append(f"[{i}:a]{','.join(audio_filters)}[a{i}]")
+
+    audio_labels = "".join(f"[a{i}]" for i in range(len(clips)))
+    filter_parts.append(f"{audio_labels}concat=n={len(clips)}:v=0:a=1[outa]")
+
+    # 截断到视频总时长
+    if video_duration > 0:
+        filter_parts.append(f"[outa]atrim=0:{video_duration:.3f}[final_audio]")
+        final_label = "final_audio"
+    else:
+        final_label = "outa"
+
+    filter_complex = ";".join(filter_parts)
+
+    command = [
+        FFMPEG_BIN,
+        "-y",
+        *input_args,
+        "-filter_complex",
+        filter_complex,
+        "-map",
+        f"[{final_label}]",
+        "-acodec",
+        "aac",
+        "-b:a",
+        "128k",
+        str(output_path),
+    ]
+    run_ffmpeg(command)
+
+
+def mix_with_independent_audio(
+    ctx: RenderContext,
+    main_clips: list[ResolvedClip],
+    audio_clips: list[ResolvedClip],
+    output_path: Path,
+    video_duration: float,
+) -> None:
+    """主音频 + 独立音频轨 amix 混音.
+
+    Args:
+        ctx: 渲染上下文
+        main_clips: 主视频 clips（提取音频后 concat）
+        audio_clips: 独立音频轨 clips
+        output_path: 输出路径
+        video_duration: 视频总时长
+    """
+    input_args: list[str] = []
+    filter_parts: list[str] = []
+    mix_labels: list[str] = []
+
+    input_idx = 0
+
+    # 1. 主图层音频 concat
+    if main_clips:
+        for clip in main_clips:
+            input_args.extend(["-i", str(clip.local_path)])
+            effective_duration = clip_effective_duration(clip)
+            trim_start = getattr(clip, "start_time", 0) or 0
+            if effective_duration > 0:
+                filter_parts.append(
+                    f"[{input_idx}:a]atrim=start={trim_start:.3f}:duration={effective_duration:.3f},"
+                    f"asetpts=PTS-STARTPTS[ma{input_idx}]"
+                )
+            else:
+                filter_parts.append(f"[{input_idx}:a]asetpts=PTS-STARTPTS[ma{input_idx}]")
+            input_idx += 1
+
+        if len(main_clips) == 1:
+            mix_labels.append("ma0")
+        else:
+            main_labels = "".join(f"[ma{i}]" for i in range(len(main_clips)))
+            filter_parts.append(f"{main_labels}concat=n={len(main_clips)}:v=0:a=1[main_audio]")
+            mix_labels.append("main_audio")
+
+    # 2. 独立音频轨
+    for j, clip in enumerate(audio_clips):
+        input_args.extend(["-i", str(clip.local_path)])
+        effective_duration = clip_effective_duration(clip)
+        trim_start = getattr(clip, "start_time", 0) or 0
+        volume = clip.config.get("volume", 1.0) if clip.config else 1.0
+        label = f"ia{j}"
+        filters = []
+        if effective_duration > 0:
+            filters.append(f"atrim=start={trim_start:.3f}:duration={effective_duration:.3f}")
+        filters.append("asetpts=PTS-STARTPTS")
+        if volume != 1.0:
+            filters.append(f"volume={volume}")
+        filter_parts.append(f"[{input_idx}:a]{','.join(filters)}[{label}]")
+        mix_labels.append(label)
+        input_idx += 1
+
+    # 3. amix 混音
+    mix_inputs = "".join(f"[{label}]" for label in mix_labels)
+    n_inputs = len(mix_labels)
+    # normalized=0 保持音量，duration=shortest 取最短
+    filter_parts.append(f"{mix_inputs}amix=inputs={n_inputs}:duration=longest:normalize=0[mixed_audio]")
+
+    # 4. 截断到视频时长
+    if video_duration > 0:
+        filter_parts.append(f"[mixed_audio]atrim=0:{video_duration:.3f}[final_audio]")
+        final_label = "final_audio"
+    else:
+        final_label = "mixed_audio"
+
+    filter_complex = ";".join(filter_parts)
+
+    command = [
+        FFMPEG_BIN,
+        "-y",
+        *input_args,
+        "-filter_complex",
+        filter_complex,
+        "-map",
+        f"[{final_label}]",
+        "-acodec",
+        "aac",
+        "-b:a",
+        "128k",
+        str(output_path),
+    ]
+
+    logger.info(
+        "音频混音: plan_id=%s main_clips=%d audio_clips=%d",
+        ctx.plan_id,
+        len(main_clips),
+        len(audio_clips),
+    )
+    try:
+        run_ffmpeg(command)
+    except subprocess.CalledProcessError as e:
+        logger.error(
+            "音频混音失败: plan_id=%s exit_code=%d\nfilter_complex:\n%s",
+            ctx.plan_id,
+            e.returncode,
+            filter_complex[:3000],
+        )
+        raise
+
+
+def merge_audio_video(
+    ctx: RenderContext,
+    video_path: Path,
+    audio_path: Path,
+    output_path: Path,
+) -> None:
+    """将音频合并到视频中（视频流拷贝，音频直接复用）.
+
+    Args:
+        ctx: 渲染上下文
+        video_path: 无声视频路径
+        audio_path: 音频文件路径
+        output_path: 输出文件路径
+    """
+    command = [
+        FFMPEG_BIN,
+        "-y",
+        "-i",
+        str(video_path),
+        "-i",
+        str(audio_path),
+        "-c:v",
+        "copy",
+        "-c:a",
+        "aac",
+        "-b:a",
+        "128k",
+        "-map",
+        "0:v:0",
+        "-map",
+        "1:a:0",
+        "-shortest",
+        "-movflags",
+        "+faststart",
+        str(output_path),
+    ]
+
+    logger.info("合并音视频: plan_id=%s", ctx.plan_id)
+    try:
+        run_ffmpeg(command)
+    except subprocess.CalledProcessError as e:
+        logger.error(
+            "合并音视频失败: plan_id=%s exit_code=%d",
+            ctx.plan_id,
+            e.returncode,
+        )
+        raise

apps/worker/video_processing/render_subtitles.py

@@ -0,0 +1,255 @@
+"""ASS 字幕生成模块 — 从 unified_render_service.py 拆分.
+
+职责：
+- 将 title / subtitle 配置转换为 ASS 字幕文件
+- 提供样式计算（颜色、对齐、描边/阴影）
+- 供 UnifiedRenderService._maybe_generate_ass 调用
+"""
+
+from __future__ import annotations
+
+import logging
+from pathlib import Path
+from typing import Any
+
+logger = logging.getLogger(__name__)
+
+
+# ── 常量 ──────────────────────────────────────────────────────────────────────
+
+# Title/Subtitle 默认边距（像素）
+TITLE_MARGIN_TOP = 60
+TITLE_MARGIN_BOTTOM = 60
+TITLE_MARGIN_SIDE = 40
+
+
+# ── ASS 字幕工具 ─────────────────────────────────────────────────────────────
+
+
+def _hex_to_ass_color(hex_color: str) -> str:
+    """将 HEX 颜色（#RRGGBB）转换为 ASS &HBBGGRR 格式。"""
+    hex_color = hex_color.lstrip("#")
+    if len(hex_color) != 6:
+        return "&H000000"
+    r, g, b = hex_color[0:2], hex_color[2:4], hex_color[4:6]
+    return f"&H{b.upper()}{g.upper()}{r.upper()}"
+
+
+def _position_to_ass_alignment(position: str) -> int:
+    """将文字位置映射为 ASS \\an 对齐编号。
+
+    ASS 对齐编号（数字小键盘布局）：
+      7 8 9
+      4 5 6
+      1 2 3
+    """
+    mapping = {
+        "top": 8,  # 顶部居中
+        "center": 5,  # 居中
+        "bottom": 2,  # 底部居中
+    }
+    return mapping.get(position, 8)
+
+
+def _build_ass_style(
+    style_name: str,
+    *,
+    font_name: str = "思源黑体",
+    font_size: int = 48,
+    primary_color: str = "&H00FFFFFF",
+    outline_color: str = "&H00000000",
+    outline_width: float = 1.0,
+    shadow_blur: float = 0.0,
+    shadow_offset: tuple[int, int] = (0, 0),
+    bold: bool = False,
+    italic: bool = False,
+    alignment: int = 8,
+    margin_v: int = 60,
+    margin_l: int = 40,
+    margin_r: int = 40,
+) -> str:
+    """构建 ASS Style 行。
+
+    Format: Name, Fontname, Fontsize, PrimaryColour, SecondaryColour, OutlineColour, BackColour,
+            Bold, Italic, Underline, StrikeOut, ScaleX, ScaleY, Spacing, Angle,
+            BorderStyle, Outline, Shadow, Alignment, MarginL, MarginR, MarginV, Encoding
+    """
+    bold_val = -1 if bold else 0
+    italic_val = -1 if italic else 0
+
+    # BackColour 用于阴影（BorderStyle=1 时 outline + shadow）
+    back_color = primary_color  # 阴影颜色默认同文字色（带透明度由阴影模糊控制）
+
+    # Shadow 值：ASS 中 Shadow 字段是阴影偏移距离（像素），
+    # 我们用 shadow_offset[1] 作为纵向偏移，模糊由 BorderStyle=3 实现
+    # 简化：BorderStyle=1（outline + drop shadow），Shadow 字段表示阴影深度
+    shadow_depth = shadow_offset[1] if shadow_blur > 0 else 0
+
+    return (
+        f"Style: {style_name},{font_name},{font_size},{primary_color},"
+        f"&H000000FF,{outline_color},{back_color},"
+        f"{bold_val},{italic_val},0,0,100,100,0,0,"
+        f"1,{outline_width},{shadow_depth},{alignment},"
+        f"{margin_l},{margin_r},{margin_v},1"
+    )
+
+
+def _escape_ass_text(text: str) -> str:
+    r"""转义 ASS 文本中的特殊字符。
+
+    ASS 中换行用 \N（硬换行）或 \n（软换行），
+    大括号 {} 用于覆盖样式，需要转义。
+    """
+    # 将实际换行转为 ASS 硬换行
+    text = text.replace("\r\n", "\\N").replace("\n", "\\N").replace("\r", "\\N")
+    # 转义大括号（ASS 用它做样式覆盖标签）
+    text = text.replace("{", "(").replace("}", ")")
+    return text
+
+
+def _format_ass_time(seconds: float) -> str:
+    """将秒数格式化为 ASS 时间格式 H:MM:SS.cc。"""
+    hours = int(seconds // 3600)
+    minutes = int((seconds % 3600) // 60)
+    secs = seconds % 60
+    return f"{hours}:{minutes:02d}:{secs:05.2f}"
+
+
+def generate_ass_subtitles(
+    output_path: Path,
+    *,
+    video_width: int,
+    video_height: int,
+    video_duration: float,
+    title_text: str = "",
+    title_config: dict[str, Any] | None = None,
+    subtitle_text: str = "",
+    subtitle_config: dict[str, Any] | None = None,
+) -> Path:
+    """生成 ASS 字幕文件。
+
+    支持 Title（标题）和 Subtitle（字幕）两种字幕类型，
+    各自可独立配置样式、位置和内容。
+
+    Args:
+        output_path: 输出 ASS 文件路径
+        video_width: 视频宽度（用于 ASS PlayResX）
+        video_height: 视频高度（用于 ASS PlayResY）
+        video_duration: 视频总时长（秒），字幕显示整个时长
+        title_text: 标题文本
+        title_config: 标题样式配置（TitleConfig dict）
+        subtitle_text: 字幕文本
+        subtitle_config: 字幕样式配置（SubtitleConfig dict）
+
+    Returns:
+        生成的 ASS 文件路径
+    """
+    title_config = title_config or {}
+    subtitle_config = subtitle_config or {}
+
+    title_enabled = title_config.get("enabled", True) and bool(title_text.strip())
+    subtitle_enabled = subtitle_config.get("enabled", True) and bool(subtitle_text.strip())
+
+    if not title_enabled and not subtitle_enabled:
+        # 没有字幕，生成空文件（仍返回路径，调用方自行判断是否使用）
+        output_path.write_text("", encoding="utf-8")
+        return output_path
+
+    styles: list[str] = []
+    events: list[str] = []
+
+    # ── Title 样式与事件 ──────────────────────────────────────────────────
+    if title_enabled:
+        title_color = _hex_to_ass_color(title_config.get("color", "#ffffff"))
+        title_stroke = title_config.get("stroke", {}) or {}
+        title_shadow = title_config.get("shadow", {}) or {}
+        stroke_color = _hex_to_ass_color(title_stroke.get("color", "#000000"))
+        stroke_width = float(title_stroke.get("width", 1)) if title_stroke.get("enabled", False) else 0.0
+        shadow_blur = float(title_shadow.get("blur", 4)) if title_shadow.get("enabled", False) else 0.0
+        shadow_offset = (
+            title_shadow.get("offset_x", 2) if title_shadow.get("enabled", False) else 0,
+            title_shadow.get("offset_y", 2) if title_shadow.get("enabled", False) else 0,
+        )
+
+        title_alignment = _position_to_ass_alignment(title_config.get("position", "top"))
+
+        styles.append(
+            _build_ass_style(
+                "TitleStyle",
+                font_name=title_config.get("font", "思源黑体"),
+                font_size=int(title_config.get("size", 48)),
+                primary_color=title_color,
+                outline_color=stroke_color,
+                outline_width=stroke_width,
+                shadow_blur=shadow_blur,
+                shadow_offset=shadow_offset,
+                bold=bool(title_config.get("bold", True)),
+                italic=bool(title_config.get("italic", False)),
+                alignment=title_alignment,
+                margin_v=TITLE_MARGIN_TOP,
+                margin_l=TITLE_MARGIN_SIDE,
+                margin_r=TITLE_MARGIN_SIDE,
+            )
+        )
+
+        # 转义 ASS 特殊字符
+        safe_title_text = _escape_ass_text(title_text)
+
+        events.append(
+            "Dialogue: 0,0:00:00.00," f"{_format_ass_time(video_duration)}," "TitleStyle,,0,0,0,," f"{safe_title_text}"
+        )
+
+    # ── Subtitle 样式与事件 ───────────────────────────────────────────────
+    if subtitle_enabled:
+        sub_color = _hex_to_ass_color(subtitle_config.get("color", "#ffffff"))
+        sub_alignment = _position_to_ass_alignment(subtitle_config.get("position", "bottom"))
+
+        styles.append(
+            _build_ass_style(
+                "SubtitleStyle",
+                font_name=subtitle_config.get("font", "思源黑体"),
+                font_size=int(subtitle_config.get("size", 24)),
+                primary_color=sub_color,
+                outline_color="&H00000000",
+                outline_width=1.0,
+                shadow_blur=0.0,
+                shadow_offset=(0, 0),
+                bold=False,
+                italic=False,
+                alignment=sub_alignment,
+                margin_v=TITLE_MARGIN_BOTTOM,
+                margin_l=TITLE_MARGIN_SIDE,
+                margin_r=TITLE_MARGIN_SIDE,
+            )
+        )
+
+        safe_subtitle_text = _escape_ass_text(subtitle_text)
+
+        events.append(
+            "Dialogue: 0,0:00:00.00,"
+            f"{_format_ass_time(video_duration)},"
+            "SubtitleStyle,,0,0,0,,"
+            f"{safe_subtitle_text}"
+        )
+
+    # ── 组装 ASS 文件 ─────────────────────────────────────────────────────
+    ass_content = f"""[Script Info]
+ScriptType: v4.00+
+PlayResX: {video_width}
+PlayResY: {video_height}
+ScaledBorderAndShadow: yes
+WrapStyle: 2
+Encoding: UTF-8
+
+[V4+ Styles]
+Format: Name, Fontname, Fontsize, PrimaryColour, SecondaryColour, OutlineColour, BackColour, Bold, Italic, Underline, StrikeOut, ScaleX, ScaleY, Spacing, Angle, BorderStyle, Outline, Shadow, Alignment, MarginL, MarginR, MarginV, Encoding  # noqa: E501
+{chr(10).join(styles)}
+
+[Events]
+Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text
+{chr(10).join(events)}
+"""
+
+    output_path.parent.mkdir(parents=True, exist_ok=True)
+    output_path.write_text(ass_content, encoding="utf-8")
+    return output_path

apps/worker/video_processing/reverse_engine.py

@@ -0,0 +1,116 @@
+"""视频倒放引擎 — 基于 FFmpeg reverse + areverse 滤镜实现视频/音频倒放.
+
+支持能力：
+- 视频倒放（reverse 滤镜）
+- 音频倒放（areverse 滤镜）
+- 按 clip 分段倒放，每个 clip 独立配置
+- 降级策略：不支持时跳过，不阻断渲染
+"""
+
+from __future__ import annotations
+
+import logging
+from dataclasses import dataclass
+from typing import Any
+
+logger = logging.getLogger(__name__)
+
+
+# ── 数据模型 ──────────────────────────────────────────────────────────────────
+
+
+@dataclass
+class ReverseConfig:
+    """视频倒放配置.
+
+    从 clip.config.reverse 读取，零侵入数据模型.
+    """
+
+    enabled: bool = False
+    reverse_video: bool = True  # 是否倒放视频
+    reverse_audio: bool = True  # 是否倒放音频
+
+    @classmethod
+    def from_dict(cls, data: dict[str, Any] | None) -> "ReverseConfig":
+        """从字典解析配置."""
+        if not data:
+            return cls(enabled=False)
+        try:
+            if not data.get("enabled", False):
+                return cls(enabled=False)
+            return cls(
+                enabled=True,
+                reverse_video=bool(data.get("reverse_video", True)),
+                reverse_audio=bool(data.get("reverse_audio", True)),
+            )
+        except (AttributeError, TypeError) as e:
+            logger.warning("倒放配置解析失败: %s，使用默认配置", e)
+            return cls(enabled=False)
+
+
+# ── 倒放引擎 ──────────────────────────────────────────────────────────────────
+
+
+class ReverseEngine:
+    """视频倒放引擎 — 生成 FFmpeg 倒放滤镜.
+
+    视频倒放：reverse 滤镜
+    音频倒放：areverse 滤镜
+
+    注意事项：
+    - reverse 滤镜需要将整个视频帧加载到内存，长视频可能占用大量内存
+    - 建议对单 clip 时长做限制（如 < 60s），超长视频建议降级
+    """
+
+    # 安全限制：单 clip 超过此时长不启用倒放（防止内存溢出）
+    MAX_SAFE_DURATION = 120.0  # 秒
+
+    @staticmethod
+    def build_video_filter(config: ReverseConfig, duration: float = 0.0) -> str:
+        """构建视频倒放滤镜字符串.
+
+        Args:
+            config: 倒放配置
+            duration: clip 时长（秒），用于安全检查
+
+        Returns:
+            FFmpeg 滤镜字符串，如 "reverse"；无效果返回空字符串
+        """
+        if not config.enabled or not config.reverse_video:
+            return ""
+
+        # 安全检查：超长视频不启用倒放
+        if duration > ReverseEngine.MAX_SAFE_DURATION:
+            logger.warning(
+                "视频倒放安全限制：clip 时长 %.1fs 超过上限 %.1fs，跳过倒放",
+                duration,
+                ReverseEngine.MAX_SAFE_DURATION,
+            )
+            return ""
+
+        return "reverse"
+
+    @staticmethod
+    def build_audio_filter(config: ReverseConfig, duration: float = 0.0) -> str:
+        """构建音频倒放滤镜字符串.
+
+        Args:
+            config: 倒放配置
+            duration: clip 时长（秒），用于安全检查
+
+        Returns:
+            FFmpeg 音频滤镜字符串，如 "areverse"；无效果返回空字符串
+        """
+        if not config.enabled or not config.reverse_audio:
+            return ""
+
+        # 安全检查：超长音频不启用倒放
+        if duration > ReverseEngine.MAX_SAFE_DURATION:
+            logger.warning(
+                "音频倒放安全限制：clip 时长 %.1fs 超过上限 %.1fs，跳过倒放",
+                duration,
+                ReverseEngine.MAX_SAFE_DURATION,
+            )
+            return ""
+
+        return "areverse"

apps/worker/video_processing/speed_engine.py

@@ -0,0 +1,167 @@
+"""视频调速引擎 — 基于 FFmpeg setpts + atempo 的速度调整能力。
+
+支持：
+- 0.25x ~ 4x 变速范围
+- 视频调速（setpts）
+- 音频调速（atempo，多级串联处理超范围值）
+- 音调修正（pitch_correct，默认开启）
+- 边界自动钳制，不阻断渲染
+"""
+
+from dataclasses import dataclass
+from typing import Optional
+
+# ─── 常量 ───────────────────────────────────────────────
+MIN_SPEED = 0.25
+MAX_SPEED = 4.0
+DEFAULT_SPEED = 1.0
+
+# atempo 单级有效范围
+_ATEMPO_MIN = 0.5
+_ATEMPO_MAX = 2.0
+
+
+@dataclass
+class SpeedConfig:
+    """调速配置。
+
+    Attributes:
+        speed: 播放速度，0.25~4.0，1.0 为原速
+        pitch_correct: 是否保持音调（默认 True，用 atempo 时间拉伸算法）
+    """
+
+    speed: float = DEFAULT_SPEED
+    pitch_correct: bool = True
+
+    @classmethod
+    def parse(cls, data: Optional[dict]) -> "SpeedConfig":
+        """从 dict 解析配置，无效值回退到默认。"""
+        if not data or not isinstance(data, dict):
+            return cls()
+
+        speed = data.get("speed", DEFAULT_SPEED)
+        if not isinstance(speed, (int, float)):
+            speed = DEFAULT_SPEED
+
+        pitch_correct = data.get("pitch_correct", True)
+        if not isinstance(pitch_correct, bool):
+            pitch_correct = True
+
+        config = cls(speed=float(speed), pitch_correct=pitch_correct)
+        config.clamp()
+        return config
+
+    def clamp(self) -> None:
+        """将速度钳制到合法范围。"""
+        if self.speed <= 0:
+            self.speed = DEFAULT_SPEED
+        elif self.speed < MIN_SPEED:
+            self.speed = MIN_SPEED
+        elif self.speed > MAX_SPEED:
+            self.speed = MAX_SPEED
+
+    @property
+    def is_original(self) -> bool:
+        """是否原速（无需调速）。"""
+        return abs(self.speed - 1.0) < 1e-6
+
+
+class SpeedEngine:
+    """调速引擎 — 生成 FFmpeg 调速滤镜链。
+
+    用法：
+        engine = SpeedEngine()
+        video_filter = engine.build_video_filter(config)
+        audio_filter = engine.build_audio_filter(config)
+        new_duration = engine.adjust_duration(duration, config)
+    """
+
+    def build_video_filter(self, config: SpeedConfig) -> str:
+        """生成视频调速滤镜字符串。
+
+        返回 setpts 滤镜表达式，原速时返回空字符串。
+        """
+        if config.is_original:
+            return ""
+        # setpts=PTS/speed — speed>1 加速，speed<1 减速
+        return f"setpts=PTS/{config.speed:.4f}"
+
+    def build_audio_filter(self, config: SpeedConfig) -> str:
+        """生成音频调速滤镜字符串。
+
+        atempo 单级范围 0.5~2.0，超出范围时自动多级串联：
+        - 0.25x → atempo=0.5,atempo=0.5
+        - 4x → atempo=2.0,atempo=2.0
+        - 0.3x → atempo=0.5,atempo=0.6
+        - 3x → atempo=2.0,atempo=1.5
+
+        原速时返回空字符串。
+        """
+        if config.is_original:
+            return ""
+
+        speed = config.speed
+        stages: list[float] = self._split_atempo_stages(speed)
+        return ",".join(f"atempo={s:.4f}" for s in stages)
+
+    @staticmethod
+    def _split_atempo_stages(speed: float) -> list[float]:
+        """将速度拆分为多级 atempo 串联，每级都在 [0.5, 2.0] 范围内。"""
+        if _ATEMPO_MIN <= speed <= _ATEMPO_MAX:
+            return [speed]
+
+        stages: list[float] = []
+        remaining = speed
+
+        # 加速场景（speed > 2.0）
+        if speed > _ATEMPO_MAX:
+            while remaining > _ATEMPO_MAX:
+                stages.append(_ATEMPO_MAX)
+                remaining /= _ATEMPO_MAX
+            stages.append(remaining)
+
+        # 减速场景（speed < 0.5）
+        else:
+            while remaining < _ATEMPO_MIN:
+                stages.append(_ATEMPO_MIN)
+                remaining /= _ATEMPO_MIN
+            stages.append(remaining)
+
+        return stages
+
+    def adjust_duration(self, original_duration: float, config: SpeedConfig) -> float:
+        """计算调速后的时长。
+
+        加速 → 时长变短；减速 → 时长变长。
+        """
+        if config.is_original or original_duration <= 0:
+            return original_duration
+        return original_duration / config.speed
+
+    def build_clip_speed_filter(
+        self,
+        speed: float,
+        pitch_correct: bool = True,
+    ) -> tuple[str, str, SpeedConfig]:
+        """便捷方法：从单一 speed 值生成视频+音频滤镜。
+
+        返回 (video_filter, audio_filter, config)。
+        """
+        config = SpeedConfig(speed=speed, pitch_correct=pitch_correct)
+        config.clamp()
+        return (
+            self.build_video_filter(config),
+            self.build_audio_filter(config),
+            config,
+        )
+
+    @staticmethod
+    def resolve_clip_speed(
+        clip_config: dict,
+        global_speed: float = DEFAULT_SPEED,
+    ) -> float:
+        """从 clip config 中解析 playback_speed，0 或缺失则使用全局速度。"""
+        speed = clip_config.get("playback_speed", 0) if clip_config else 0
+        if not isinstance(speed, (int, float)) or speed <= 0:
+            return global_speed
+        return float(speed)

apps/worker/video_processing/sticker_engine.py

@@ -0,0 +1,574 @@
+"""贴纸叠加引擎 — 基于 FFmpeg overlay + drawtext 实现图片/文字贴纸.
+
+支持能力：
+- 图片贴纸（PNG/GIF）：位置、大小、透明度、时间范围、淡入淡出
+- 文字贴纸（花字）：字体、颜色、描边、阴影、位置、时间范围、动画
+- 9宫格位置 + 自由坐标（像素或百分比）
+- 多贴纸叠加，按 z_index 排序
+- 降级策略：素材不存在/无效时自动跳过，不阻断渲染
+"""
+
+from __future__ import annotations
+
+import logging
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any
+
+logger = logging.getLogger(__name__)
+
+
+# ── 预设贴纸分类 ──────────────────────────────────────────────────────────────
+
+# 预设贴纸分类（仅用于前端展示，后端不依赖具体素材）
+STICKER_CATEGORIES = [
+    ("emoji", "表情包"),
+    ("text", "文字花字"),
+    ("decoration", "装饰"),
+    ("arrow", "箭头指示"),
+    ("frame", "边框"),
+]
+
+# 9宫格位置映射
+POSITION_PRESETS = {
+    "top_left": (0.05, 0.05),
+    "top_center": (0.5, 0.05),
+    "top_right": (0.95, 0.05),
+    "center_left": (0.05, 0.5),
+    "center": (0.5, 0.5),
+    "center_right": (0.95, 0.5),
+    "bottom_left": (0.05, 0.95),
+    "bottom_center": (0.5, 0.95),
+    "bottom_right": (0.95, 0.95),
+}
+
+
+# ── 数据模型 ──────────────────────────────────────────────────────────────────
+
+
+@dataclass
+class ImageStickerConfig:
+    """图片贴纸配置."""
+
+    enabled: bool = False
+    type: str = "image"  # image / text
+    # 位置
+    position: str = "top_right"  # 9宫格预设
+    x: float | None = None  # 自定义x（像素或百分比）
+    y: float | None = None  # 自定义y
+    x_unit: str = "percent"  # pixel / percent
+    y_unit: str = "percent"
+    # 大小
+    scale: float = 1.0  # 缩放比例（相对于原始大小）
+    width: int | None = None  # 指定宽度（像素）
+    height: int | None = None  # 指定高度（像素）
+    # 透明度
+    opacity: float = 1.0  # 0.0~1.0
+    # 时间范围
+    start_time: float = 0.0
+    duration: float = 0.0  # 0 表示持续到结束
+    # 动画
+    fade_in: float = 0.0  # 淡入时长（秒）
+    fade_out: float = 0.0  # 淡出时长
+    # 层级
+    z_index: int = 10
+    # 素材
+    image_url: str = ""  # 图片URL或本地路径
+    preset_id: str = ""  # 预设贴纸ID
+
+
+@dataclass
+class TextStickerConfig:
+    """文字贴纸配置."""
+
+    enabled: bool = False
+    type: str = "text"
+    text: str = ""
+    # 字体
+    font_size: int = 36
+    font_color: str = "#FFFFFF"
+    font_family: str = "sans"
+    # 描边
+    stroke_color: str = "#000000"
+    stroke_width: int = 2
+    # 阴影
+    shadow_color: str = "#000000"
+    shadow_x: int = 2
+    shadow_y: int = 2
+    shadow_alpha: float = 0.5
+    # 位置
+    position: str = "center"
+    x: float | None = None
+    y: float | None = None
+    x_unit: str = "percent"
+    y_unit: str = "percent"
+    # 时间范围
+    start_time: float = 0.0
+    duration: float = 0.0
+    # 动画
+    fade_in: float = 0.0
+    fade_out: float = 0.0
+    # 层级
+    z_index: int = 10
+    # 背景框
+    bg_color: str = ""  # 空表示无背景
+    bg_padding: int = 8
+    bg_alpha: float = 0.8
+    bg_corner_radius: int = 8
+
+
+@dataclass
+class StickerOverlayResult:
+    """贴纸叠加结果."""
+
+    filter_str: str  # 滤镜字符串
+    output_label: str  # 输出标签
+    extra_inputs: list[str] = field(default_factory=list)  # 额外的输入文件路径
+
+
+# ── 贴纸引擎 ──────────────────────────────────────────────────────────────────
+
+
+class StickerEngine:
+    """贴纸叠加引擎 — 生成 FFmpeg overlay / drawtext 滤镜链.
+
+    支持图片贴纸（overlay）和文字贴纸（drawtext）。
+    多贴纸按 z_index 排序依次叠加。
+    """
+
+    @staticmethod
+    def _resolve_position(
+        config: ImageStickerConfig | TextStickerConfig,
+        canvas_w: int,
+        canvas_h: int,
+        sticker_w: int = 0,
+        sticker_h: int = 0,
+    ) -> tuple[float, float]:
+        """解析贴纸位置（像素坐标）.
+
+        优先级：自定义坐标 > 9宫格预设
+        """
+        # 先取预设的基准位置
+        if config.position in POSITION_PRESETS:
+            px, py = POSITION_PRESETS[config.position]
+        else:
+            px, py = 0.5, 0.5  # 默认居中
+
+        # 自定义坐标覆盖
+        if config.x is not None:
+            if config.x_unit == "percent":
+                px = config.x / 100.0
+            else:
+                px = config.x / canvas_w if canvas_w > 0 else 0.5
+
+        if config.y is not None:
+            if config.y_unit == "percent":
+                py = config.y / 100.0
+            else:
+                py = config.y / canvas_h if canvas_h > 0 else 0.5
+
+        # 转换为像素坐标（考虑贴纸尺寸，使位置为贴纸中心点）
+        x = px * canvas_w - sticker_w / 2
+        y = py * canvas_h - sticker_h / 2
+
+        # 钳制在画布内
+        x = max(0, min(x, canvas_w - sticker_w))
+        y = max(0, min(y, canvas_h - sticker_h))
+
+        return x, y
+
+    @staticmethod
+    def _build_overlay_filter(
+        sticker: ImageStickerConfig,
+        sticker_idx: int,
+        input_label: str,
+        output_label: str,
+        canvas_w: int,
+        canvas_h: int,
+    ) -> str:
+        """构建单个图片贴纸的 overlay 滤镜.
+
+        Args:
+            sticker: 贴纸配置
+            sticker_idx: 贴纸索引（用于生成滤镜标签）
+            input_label: 输入视频标签（如 "[base]"）
+            output_label: 输出视频标签
+            canvas_w: 画布宽度
+            canvas_h: 画布高度
+
+        Returns:
+            FFmpeg 滤镜字符串
+        """
+        sticker_label = f"sticker_{sticker_idx}_scaled"
+
+        # 1. 贴纸缩放预处理
+        scale_parts = []
+        if sticker.width and sticker.height:
+            scale_parts.append(f"scale={sticker.width}:{sticker.height}")
+        elif sticker.scale != 1.0:
+            # 按比例缩放
+            scale_parts.append(f"scale=iw*{sticker.scale}:ih*{sticker.scale}")
+        # 透明度调整
+        if sticker.opacity < 1.0:
+            scale_parts.append(f"colorchannelmixer=aa={sticker.opacity}")
+
+        # 淡入淡出
+        fade_parts = []
+        if sticker.fade_in > 0:
+            fade_parts.append(f"fade=in:st={sticker.start_time}:d={sticker.fade_in}:alpha=1")
+        if sticker.fade_out > 0 and sticker.duration > 0:
+            fade_out_start = sticker.start_time + sticker.duration - sticker.fade_out
+            fade_parts.append(f"fade=out:st={max(0, fade_out_start)}:d={sticker.fade_out}:alpha=1")
+
+        pre_filters = scale_parts + fade_parts
+
+        # 2. overlay 位置
+        # 先估算贴纸尺寸（假设原始尺寸 ~ canvas_w * 0.3）
+        est_w = int(canvas_w * 0.3 * sticker.scale) if not sticker.width else sticker.width
+        est_h = int(canvas_h * 0.3 * sticker.scale) if not sticker.height else sticker.height
+        pos_x, pos_y = StickerEngine._resolve_position(sticker, canvas_w, canvas_h, est_w, est_h)
+
+        # 3. enable 表达式（时间范围）
+        enable_expr = ""
+        if sticker.duration > 0:
+            enable_expr = f":enable='between(t,{sticker.start_time},{sticker.start_time + sticker.duration})'"
+
+        # 组合滤镜
+        filter_parts: list[str] = []
+
+        # 贴纸预处理
+        if pre_filters:
+            filter_parts.append(f"[{sticker_idx + 1}:v]{','.join(pre_filters)}[{sticker_label}]")
+            sticker_source = f"[{sticker_label}]"
+        else:
+            sticker_source = f"[{sticker_idx + 1}:v]"
+
+        # overlay 合成
+        filter_parts.append(f"{input_label}{sticker_source}overlay={pos_x:.0f}:{pos_y:.0f}{enable_expr}{output_label}")
+
+        return ";".join(filter_parts)
+
+    @staticmethod
+    def _build_drawtext_filter(
+        sticker: TextStickerConfig,
+        input_label: str,
+        output_label: str,
+        canvas_w: int,
+        canvas_h: int,
+    ) -> str:
+        """构建单个文字贴纸的 drawtext 滤镜.
+
+        Args:
+            sticker: 文字贴纸配置
+            input_label: 输入视频标签
+            output_label: 输出视频标签
+            canvas_w: 画布宽度
+            canvas_h: 画布高度
+
+        Returns:
+            FFmpeg 滤镜字符串
+        """
+        if not sticker.text:
+            return f"{input_label}copy{output_label}"
+
+        # 估算文字尺寸（粗略）
+        est_w = len(sticker.text) * sticker.font_size * 0.6
+        est_h = sticker.font_size * 1.4
+
+        pos_x, pos_y = StickerEngine._resolve_position(sticker, canvas_w, canvas_h, int(est_w), int(est_h))
+
+        drawtext_params: list[str] = []
+
+        # 文字内容（转义特殊字符）
+        escaped_text = sticker.text.replace(":", "\\:").replace("'", "\\'")
+        drawtext_params.append(f"text='{escaped_text}'")
+
+        # 字体
+        drawtext_params.append(f"fontsize={sticker.font_size}")
+        drawtext_params.append(f"fontcolor={sticker.font_color}")
+
+        # 描边
+        if sticker.stroke_width > 0:
+            drawtext_params.append(f"borderw={sticker.stroke_width}")
+            drawtext_params.append(f"bordercolor={sticker.stroke_color}")
+
+        # 阴影
+        if sticker.shadow_alpha > 0:
+            drawtext_params.append(f"shadowx={sticker.shadow_x}")
+            drawtext_params.append(f"shadowy={sticker.shadow_y}")
+            drawtext_params.append(f"shadowcolor={sticker.shadow_color}@{sticker.shadow_alpha}")
+
+        # 位置
+        drawtext_params.append(f"x={pos_x:.0f}")
+        drawtext_params.append(f"y={pos_y:.0f}")
+
+        # 时间范围
+        if sticker.duration > 0:
+            drawtext_params.append(f"enable='between(t,{sticker.start_time},{sticker.start_time + sticker.duration})'")
+
+        # 淡入淡出（drawtext 没有直接的淡入淡出，用 alpha 表达式模拟）
+        if sticker.fade_in > 0 or sticker.fade_out > 0:
+            alpha_expr = "1"
+            parts: list[str] = []
+            if sticker.fade_in > 0:
+                parts.append(
+                    f"if(lt(t,{sticker.start_time + sticker.fade_in})," f"(t-{sticker.start_time})/{sticker.fade_in},1)"
+                )
+            if sticker.fade_out > 0 and sticker.duration > 0:
+                fade_out_start = sticker.start_time + sticker.duration - sticker.fade_out
+                parts.append(
+                    f"if(gt(t,{fade_out_start})," f"({sticker.start_time + sticker.duration}-t)/{sticker.fade_out},1)"
+                )
+            if parts:
+                alpha_expr = "*".join(parts)
+                drawtext_params.append(f"alpha='{alpha_expr}'")
+
+        filter_str = f"{input_label}drawtext={':'.join(drawtext_params)}{output_label}"
+        return filter_str
+
+    @classmethod
+    def build_sticker_chain(
+        cls,
+        stickers: list[dict[str, Any]],
+        input_label: str,
+        output_label: str,
+        canvas_w: int,
+        canvas_h: int,
+    ) -> StickerOverlayResult:
+        """构建多贴纸叠加滤镜链.
+
+        Args:
+            stickers: 贴纸配置列表
+            input_label: 初始输入标签
+            output_label: 最终输出标签
+            canvas_w: 画布宽度
+            canvas_h: 画布高度
+
+        Returns:
+            StickerOverlayResult，包含滤镜字符串、输出标签、额外输入
+        """
+        if not stickers:
+            return StickerOverlayResult(
+                filter_str=f"{input_label}copy{output_label}",
+                output_label=output_label,
+                extra_inputs=[],
+            )
+
+        # 解析配置
+        parsed_stickers: list[tuple[int, ImageStickerConfig | TextStickerConfig]] = []
+        image_stickers: list[ImageStickerConfig] = []
+        image_paths: list[str] = []
+
+        for i, s in enumerate(stickers):
+            try:
+                sticker_type = s.get("type", "image")
+                z = int(s.get("z_index", 10))
+
+                if sticker_type == "text":
+                    config = TextStickerConfig(
+                        enabled=True,
+                        text=str(s.get("text", "")),
+                        font_size=int(s.get("font_size", 36)),
+                        font_color=str(s.get("font_color", "#FFFFFF")),
+                        stroke_color=str(s.get("stroke_color", "#000000")),
+                        stroke_width=int(s.get("stroke_width", 2)),
+                        shadow_x=int(s.get("shadow_x", 2)),
+                        shadow_y=int(s.get("shadow_y", 2)),
+                        shadow_alpha=float(s.get("shadow_alpha", 0.5)),
+                        position=str(s.get("position", "center")),
+                        x=cls._safe_float(s.get("x")),
+                        y=cls._safe_float(s.get("y")),
+                        x_unit=str(s.get("x_unit", "percent")),
+                        y_unit=str(s.get("y_unit", "percent")),
+                        start_time=float(s.get("start_time", 0)),
+                        duration=float(s.get("duration", 0)),
+                        fade_in=float(s.get("fade_in", 0)),
+                        fade_out=float(s.get("fade_out", 0)),
+                        z_index=z,
+                        bg_color=str(s.get("bg_color", "")),
+                        bg_padding=int(s.get("bg_padding", 8)),
+                        bg_alpha=float(s.get("bg_alpha", 0.8)),
+                        bg_corner_radius=int(s.get("bg_corner_radius", 8)),
+                    )
+                    parsed_stickers.append((z, config))
+                else:
+                    # 图片贴纸
+                    image_path = s.get("image_path", "") or s.get("image_url", "")
+                    if not image_path or not Path(image_path).exists():
+                        logger.warning("贴纸素材不存在，跳过: %s", image_path)
+                        continue
+
+                    config = ImageStickerConfig(
+                        enabled=True,
+                        position=str(s.get("position", "top_right")),
+                        x=cls._safe_float(s.get("x")),
+                        y=cls._safe_float(s.get("y")),
+                        x_unit=str(s.get("x_unit", "percent")),
+                        y_unit=str(s.get("y_unit", "percent")),
+                        scale=float(s.get("scale", 1.0)),
+                        width=int(s["width"]) if s.get("width") else None,
+                        height=int(s["height"]) if s.get("height") else None,
+                        opacity=max(0.0, min(1.0, float(s.get("opacity", 1.0)))),
+                        start_time=float(s.get("start_time", 0)),
+                        duration=float(s.get("duration", 0)),
+                        fade_in=float(s.get("fade_in", 0)),
+                        fade_out=float(s.get("fade_out", 0)),
+                        z_index=z,
+                        image_url=str(s.get("image_url", "")),
+                    )
+                    parsed_stickers.append((z, config))
+                    image_stickers.append(config)
+                    image_paths.append(image_path)
+
+            except Exception as e:
+                logger.warning("贴纸配置解析失败，跳过: %s", e)
+                continue
+
+        if not parsed_stickers:
+            return StickerOverlayResult(
+                filter_str=f"{input_label}copy{output_label}",
+                output_label=output_label,
+                extra_inputs=[],
+            )
+
+        # 按 z_index 排序
+        parsed_stickers.sort(key=lambda x: x[0])
+
+        # 构建滤镜链
+        filter_parts: list[str] = []
+        current_label = input_label
+        img_idx = 0  # 图片贴纸的输入索引偏移
+
+        for idx, (_, sticker) in enumerate(parsed_stickers):
+            next_label = f"sticker_{idx}_out" if idx < len(parsed_stickers) - 1 else output_label
+
+            if isinstance(sticker, ImageStickerConfig):
+                # 图片贴纸：使用额外的输入（输入索引 = 1 + img_idx，0 是主视频）
+                # 注意：实际输入索引需要调用方根据输入列表确定
+                # 这里我们按 image_stickers 的顺序分配索引
+                # 主输入是 [0:v]，贴纸输入从 [1:v] 开始
+                single_filter = cls._build_single_image_sticker(
+                    sticker=sticker,
+                    sticker_input_idx=img_idx + 1,  # +1 因为 0 是主视频
+                    input_label=current_label,
+                    output_label=next_label,
+                    canvas_w=canvas_w,
+                    canvas_h=canvas_h,
+                )
+                filter_parts.append(single_filter)
+                img_idx += 1
+            else:
+                # 文字贴纸：drawtext，不需要额外输入
+                single_filter = cls._build_drawtext_filter(
+                    sticker,  # type: ignore
+                    current_label,
+                    next_label,
+                    canvas_w,
+                    canvas_h,
+                )
+                filter_parts.append(single_filter)
+
+            current_label = next_label
+
+        return StickerOverlayResult(
+            filter_str=";".join(filter_parts),
+            output_label=output_label,
+            extra_inputs=image_paths,
+        )
+
+    @classmethod
+    def _build_single_image_sticker(
+        cls,
+        sticker: ImageStickerConfig,
+        sticker_input_idx: int,
+        input_label: str,
+        output_label: str,
+        canvas_w: int,
+        canvas_h: int,
+    ) -> str:
+        """构建单个图片贴纸的完整滤镜（预处理 + overlay）.
+
+        Args:
+            sticker: 贴纸配置
+            sticker_input_idx: 贴纸在 FFmpeg 输入中的索引
+            input_label: 输入视频标签
+            output_label: 输出标签
+            canvas_w: 画布宽
+            canvas_h: 画布高
+        """
+        scaled_label = f"sticker_s{sticker_input_idx}"
+
+        # 预处理滤镜（缩放 + 透明度 + 淡入淡出）
+        pre_filters: list[str] = []
+
+        # 缩放
+        if sticker.width and sticker.height:
+            pre_filters.append(f"scale={sticker.width}:{sticker.height}")
+        elif sticker.scale != 1.0:
+            pre_filters.append(f"scale=iw*{sticker.scale}:ih*{sticker.scale}")
+
+        # 透明度
+        if sticker.opacity < 1.0:
+            pre_filters.append(f"format=rgba,colorchannelmixer=aa={sticker.opacity}")
+
+        # 淡入淡出（使用 fade 的 alpha 模式）
+        fade_filters: list[str] = []
+        if sticker.fade_in > 0:
+            fade_filters.append(f"fade=in:st={sticker.start_time}:d={sticker.fade_in}:alpha=1")
+        if sticker.fade_out > 0 and sticker.duration > 0:
+            fade_out_start = sticker.start_time + sticker.duration - sticker.fade_out
+            if fade_out_start > 0:
+                fade_filters.append(f"fade=out:st={fade_out_start}:d={sticker.fade_out}:alpha=1")
+
+        # 估算贴纸尺寸用于位置计算
+        est_w = int(canvas_w * 0.3 * sticker.scale) if not sticker.width else sticker.width
+        est_h = int(canvas_h * 0.3 * sticker.scale) if not sticker.height else sticker.height
+        pos_x, pos_y = cls._resolve_position(sticker, canvas_w, canvas_h, est_w, est_h)
+
+        # enable 表达式
+        enable_expr = ""
+        if sticker.duration > 0:
+            enable_expr = f":enable='between(t,{sticker.start_time},{sticker.start_time + sticker.duration})'"
+
+        parts: list[str] = []
+
+        # 贴纸预处理
+        all_pre = pre_filters + fade_filters
+        if all_pre:
+            parts.append(f"[{sticker_input_idx}:v]{','.join(all_pre)}[{scaled_label}]")
+            sticker_source = f"[{scaled_label}]"
+        else:
+            sticker_source = f"[{sticker_input_idx}:v]"
+
+        # overlay 合成
+        parts.append(f"{input_label}{sticker_source}overlay={pos_x:.0f}:{pos_y:.0f}{enable_expr}{output_label}")
+
+        return ";".join(parts)
+
+    @staticmethod
+    def _safe_float(val: Any) -> float | None:
+        """安全转换 float."""
+        if val is None:
+            return None
+        try:
+            return float(val)
+        except (ValueError, TypeError):
+            return None
+
+
+# ── 便捷函数 ──────────────────────────────────────────────────────────────────
+
+
+def parse_stickers_from_config(config: dict[str, Any] | None) -> list[dict[str, Any]]:
+    """从 plan.config.stickers 解析贴纸列表."""
+    if not config:
+        return []
+    stickers = config.get("stickers", [])
+    if not isinstance(stickers, list):
+        return []
+    return stickers
+
+
+def get_sticker_categories() -> list[tuple[str, str]]:
+    """获取贴纸分类列表."""
+    return list(STICKER_CATEGORIES)

apps/worker/video_processing/subtitle_generator.py

@@ -0,0 +1,183 @@
+"""字幕生成器 — 将字幕时间轴转换为 ASS 字幕文件。
+
+与 render_subtitles.py 的区别：
+- render_subtitles.py 处理静态整段标题/字幕
+- 本模块处理带时间轴的多段 ASR 字幕
+
+两者最终都输出 ASS 文件，供 FFmpeg 烧录。
+"""
+
+from __future__ import annotations
+
+import logging
+from pathlib import Path
+from typing import Any
+
+from packages.domain.subtitle import SubtitleTimeline
+
+logger = logging.getLogger(__name__)
+
+
+# ── 常量 ──────────────────────────────────────────────────────────────────────
+
+DEFAULT_MAX_CHARS_PER_LINE = 20  # 每行最多字符数
+DEFAULT_MIN_CHARS_PER_SEGMENT = 8  # 每段最少字符数
+
+
+# ── ASS 工具函数 ────────────────────────────────────────────────────────────
+
+
+def _hex_to_ass_color(hex_color: str) -> str:
+    """将 HEX 颜色（#RRGGBB）转换为 ASS &HBBGGRR 格式。"""
+    hex_color = hex_color.lstrip("#")
+    if len(hex_color) != 6:
+        return "&H00FFFFFF"
+    r, g, b = hex_color[0:2], hex_color[2:4], hex_color[4:6]
+    return f"&H{b.upper()}{g.upper()}{r.upper()}"
+
+
+def _position_to_ass_alignment(position: str) -> int:
+    """将文字位置映射为 ASS \\an 对齐编号。"""
+    mapping = {
+        "top": 8,
+        "center": 5,
+        "bottom": 2,
+    }
+    return mapping.get(position, 2)
+
+
+def _format_ass_time(seconds: float) -> str:
+    """将秒数格式化为 ASS 时间格式 H:MM:SS.cc。"""
+    hours = int(seconds // 3600)
+    minutes = int((seconds % 3600) // 60)
+    secs = seconds % 60
+    return f"{hours}:{minutes:02d}:{secs:05.2f}"
+
+
+def _escape_ass_text(text: str) -> str:
+    """转义 ASS 文本中的特殊字符。"""
+    text = text.replace("\r\n", "\\N").replace("\n", "\\N").replace("\r", "\\N")
+    text = text.replace("{", "(").replace("}", ")")
+    return text
+
+
+def _wrap_text(text: str, max_chars: int) -> list[str]:
+    """将长文本按字数换行。
+
+    优先在标点处换行，没有合适标点时硬切。
+    """
+    if len(text) <= max_chars:
+        return [text]
+
+    lines: list[str] = []
+    remaining = text
+
+    while len(remaining) > max_chars:
+        # 在前 max_chars 个字符中找标点断开
+        break_point = max_chars
+        punctuations = "，。！？、；：,.;:!?"
+
+        for i in range(max_chars, max_chars // 2, -1):
+            if i < len(remaining) and remaining[i] in punctuations:
+                break_point = i + 1
+                break
+
+        lines.append(remaining[:break_point])
+        remaining = remaining[break_point:]
+
+    if remaining:
+        lines.append(remaining)
+
+    return lines
+
+
+# ── 主生成器 ─────────────────────────────────────────────────────────────────
+
+
+def generate_ass_from_timeline(
+    output_path: Path,
+    timeline: SubtitleTimeline,
+    *,
+    video_width: int,
+    video_height: int,
+    subtitle_config: dict[str, Any] | None = None,
+) -> Path:
+    """从字幕时间轴生成 ASS 字幕文件。
+
+    Args:
+        output_path: 输出 ASS 文件路径
+        timeline: 字幕时间轴
+        video_width: 视频宽度
+        video_height: 视频高度
+        subtitle_config: 字幕样式配置（同 SubtitleConfig dict）
+
+    Returns:
+        生成的 ASS 文件路径
+    """
+    subtitle_config = subtitle_config or {}
+
+    if not timeline.segments:
+        output_path.write_text("", encoding="utf-8")
+        return output_path
+
+    # 样式参数
+    font_name = subtitle_config.get("font", "思源黑体")
+    font_size = int(subtitle_config.get("size", 24))
+    color = _hex_to_ass_color(subtitle_config.get("color", "#ffffff"))
+    position = subtitle_config.get("position", "bottom")
+    alignment = _position_to_ass_alignment(position)
+    max_chars_per_line = int(subtitle_config.get("max_chars_per_line", DEFAULT_MAX_CHARS_PER_LINE))
+
+    # 描边（默认黑色描边，保证可读性）
+    outline_color = "&H00000000"
+    outline_width = 1.5
+
+    # 边距
+    margin_v = 60 if position == "bottom" else 60
+    margin_l = 40
+    margin_r = 40
+
+    # 生成样式行
+    style_line = (
+        f"Style: Default,{font_name},{font_size},{color},"
+        f"&H000000FF,{outline_color},&H00000000,"
+        f"-1,0,0,0,100,100,0,0,"
+        f"1,{outline_width},0,{alignment},"
+        f"{margin_l},{margin_r},{margin_v},1"
+    )
+
+    # 生成事件行
+    events: list[str] = []
+    for seg in timeline.segments:
+        start_time = _format_ass_time(seg.start)
+        end_time = _format_ass_time(seg.end)
+
+        # 自动换行
+        lines = _wrap_text(seg.text, max_chars_per_line)
+        display_text = "\\N".join(lines)
+
+        safe_text = _escape_ass_text(display_text)
+
+        events.append(f"Dialogue: 0,{start_time},{end_time},Default,,0,0,0,,{safe_text}")
+
+    # 组装 ASS 文件
+    ass_content = f"""[Script Info]
+ScriptType: v4.00+
+PlayResX: {video_width}
+PlayResY: {video_height}
+ScaledBorderAndShadow: yes
+WrapStyle: 2
+Encoding: UTF-8
+
+[V4+ Styles]
+Format: Name, Fontname, Fontsize, PrimaryColour, SecondaryColour, OutlineColour, BackColour, Bold, Italic, Underline, StrikeOut, ScaleX, ScaleY, Spacing, Angle, BorderStyle, Outline, Shadow, Alignment, MarginL, MarginR, MarginV, Encoding
+{style_line}
+
+[Events]
+Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text
+{chr(10).join(events)}
+"""
+
+    output_path.parent.mkdir(parents=True, exist_ok=True)
+    output_path.write_text(ass_content, encoding="utf-8")
+    return output_path

apps/worker/video_processing/thumbnail_generator.py

@@ -0,0 +1,123 @@
+"""视频缩略图生成工具 — 抽取首帧上传到 OSS。"""
+
+from __future__ import annotations
+
+import logging
+import tempfile
+from pathlib import Path
+
+logger = logging.getLogger(__name__)
+
+
+def extract_first_frame(
+    video_path: str,
+    output_path: str | None = None,
+    *,
+    width: int = 640,
+    height: int = -1,
+    timeout: int = 30,
+) -> str:
+    """抽取视频第一帧作为封面图。
+
+    Args:
+        video_path: 视频文件路径
+        output_path: 输出图片路径，不传则用临时文件
+        width: 输出宽度（默认 640，-1 表示按比例缩放）
+        height: 输出高度（默认 -1，按比例缩放）
+        timeout: 超时时间（秒）
+
+    Returns:
+        生成的缩略图文件路径
+
+    Raises:
+        subprocess.CalledProcessError: ffmpeg 执行失败
+    """
+    from video_processing.ffmpeg_utils import FFMPEG_BIN, run_ffmpeg
+
+    if output_path is None:
+        tmp = tempfile.NamedTemporaryFile(suffix=".jpg", delete=False)
+        tmp.close()
+        output_path = tmp.name
+
+    # -ss 00:00:01 取第1秒帧（避免首帧黑屏）
+    # -vframes 1 只取一帧
+    # -q:v 2 jpeg 高质量
+    scale_filter = f"scale={width}:{height}:force_original_aspect_ratio=decrease"
+    cmd = [
+        FFMPEG_BIN,
+        "-y",
+        "-i",
+        video_path,
+        "-ss",
+        "00:00:01",
+        "-vframes",
+        "1",
+        "-vf",
+        scale_filter,
+        "-q:v",
+        "2",
+        output_path,
+    ]
+
+    try:
+        run_ffmpeg(cmd, capture_output=True, timeout=timeout)
+    except Exception:
+        # 短视频可能没有第1秒，退回到第0帧
+        cmd2 = [
+            FFMPEG_BIN,
+            "-y",
+            "-i",
+            video_path,
+            "-ss",
+            "00:00:00",
+            "-vframes",
+            "1",
+            "-vf",
+            scale_filter,
+            "-q:v",
+            "2",
+            output_path,
+        ]
+        run_ffmpeg(cmd2, capture_output=True, timeout=timeout)
+
+    if not Path(output_path).exists() or Path(output_path).stat().st_size == 0:
+        raise RuntimeError(f"Thumbnail generation failed: {output_path}")
+
+    return output_path
+
+
+def generate_and_upload_thumbnail(
+    video_path: str,
+    storage_key: str,
+) -> str | None:
+    """生成缩略图并上传到 OSS，返回 URL。
+
+    Args:
+        video_path: 本地视频路径
+        storage_key: OSS 存储 key（如 generated/projects/xxx/thumbnails/yyy.jpg）
+
+    Returns:
+        上传成功返回 URL，失败返回 None
+    """
+    thumbnail_path = None
+    try:
+        thumbnail_path = extract_first_frame(video_path)
+    except Exception as e:
+        logger.warning("Failed to extract thumbnail from %s: %s", video_path, e)
+        return None
+
+    try:
+        from video_processing.oss_helpers import upload_to_oss
+
+        url = upload_to_oss(thumbnail_path, storage_key)
+        return url
+    except Exception as e:
+        logger.warning("Failed to upload thumbnail to OSS: %s", e)
+        return None
+    finally:
+        # 清理临时文件
+        if thumbnail_path:
+            try:
+                Path(thumbnail_path).unlink(missing_ok=True)
+            except Exception:
+                pass

apps/worker/video_processing/transition_engine.py

@@ -0,0 +1,381 @@
+"""转场特效引擎 — Phase 8 智能增强.
+
+基于 FFmpeg xfade 滤镜的统一转场抽象层，提供：
+  1. 转场类型枚举与预设管理
+  2. 转场配置解析与边界校验
+  3. 降级策略（不支持的转场自动 fallback 到硬切）
+  4. xfade 滤镜链构建（封装底层 ffmpeg_utils）
+
+新增转场只需在 TransitionType 中加一项 + 在 XFADE_TRANSITION_MAP 中映射。
+"""
+
+from __future__ import annotations
+
+import logging
+import sys
+from dataclasses import dataclass
+
+if sys.version_info >= (3, 11):
+    from enum import StrEnum
+else:
+    from enum import Enum
+
+    class StrEnum(str, Enum):
+        pass
+
+
+from video_processing.ffmpeg_utils import build_xfade_filter_chain
+
+logger = logging.getLogger(__name__)
+
+
+# ── 常量 ──────────────────────────────────────────────────────────────────────
+
+# 转场时长范围（秒）
+MIN_TRANSITION_DURATION = 0.3
+MAX_TRANSITION_DURATION = 2.0
+DEFAULT_TRANSITION_DURATION = 0.5
+
+# 硬切（无转场）
+CUT_TRANSITION = "cut"
+
+
+# ── 转场类型枚举 ──────────────────────────────────────────────────────────────
+
+
+class TransitionType(StrEnum):
+    """支持的转场效果类型.
+
+    每种类型对应 FFmpeg xfade filter 的一个 transition 值。
+    新增转场只需在此添加一项，并在 _FFMPEG_XFADE_MAP 中映射。
+    """
+
+    # 硬切（无转场效果，直接拼接）
+    CUT = "cut"
+
+    # 淡入淡出（最常用，默认 fallback）
+    FADE = "fade"
+
+    # 溶解（交叉溶解）
+    DISSOLVE = "dissolve"
+
+    # 滑入系列
+    SLIDE_LEFT = "slideleft"
+    SLIDE_RIGHT = "slideright"
+    SLIDE_UP = "slideup"
+    SLIDE_DOWN = "slidedown"
+
+    # 缩放
+    ZOOM = "zoom"
+
+    # 擦除系列
+    WIPE_LEFT = "wipeleft"
+    WIPE_RIGHT = "wiperight"
+    WIPE_UP = "wipeup"
+    WIPE_DOWN = "wipedown"
+
+    # 圆形扩散
+    CIRCLE_CROP = "circlecrop"
+
+    # 矩形覆盖
+    RECT_CROP = "rectcrop"
+
+    @classmethod
+    def all_supported(cls) -> list[str]:
+        """返回所有支持的转场类型名称列表."""
+        return [t.value for t in cls if t != cls.CUT]
+
+    @classmethod
+    def is_supported(cls, name: str) -> bool:
+        """检查转场类型是否支持（不区分大小写和下划线）."""
+        normalized = _normalize_transition_name(name)
+        return normalized in _NAME_TO_ENUM_MAP
+
+
+# ── 名称 → 枚举 映射（支持多种别名）──────────────────────────────────────────
+
+
+def _normalize_transition_name(name: str) -> str:
+    """标准化转场名称：小写 + 去下划线."""
+    return name.lower().replace("_", "").replace("-", "")
+
+
+# 构建别名映射
+_NAME_TO_ENUM_MAP: dict[str, TransitionType] = {}
+for _t in TransitionType:
+    _NAME_TO_ENUM_MAP[_normalize_transition_name(_t.value)] = _t
+
+# 额外的别名
+_ALIASES: dict[str, TransitionType] = {
+    "dissolve": TransitionType.DISSOLVE,
+    "crossfade": TransitionType.DISSOLVE,
+    "crossdissolve": TransitionType.DISSOLVE,
+    "fadein": TransitionType.FADE,
+    "fadeout": TransitionType.FADE,
+    "fadeblack": TransitionType.FADE,
+    "slide": TransitionType.SLIDE_LEFT,  # 默认向左滑
+    "wipe": TransitionType.WIPE_LEFT,  # 默认向左擦
+    "zoomin": TransitionType.ZOOM,
+    "zoomout": TransitionType.ZOOM,
+    "circle": TransitionType.CIRCLE_CROP,
+    "rect": TransitionType.RECT_CROP,
+}
+for _alias, _type in _ALIASES.items():
+    _key = _normalize_transition_name(_alias)
+    if _key not in _NAME_TO_ENUM_MAP:
+        _NAME_TO_ENUM_MAP[_key] = _type
+
+
+# ── TransitionType → FFmpeg xfade transition 名称映射 ─────────────────────────
+
+
+_FFMPEG_XFADE_MAP: dict[TransitionType, str] = {
+    TransitionType.FADE: "fade",
+    TransitionType.DISSOLVE: "dissolve",
+    TransitionType.SLIDE_LEFT: "slideleft",
+    TransitionType.SLIDE_RIGHT: "slideright",
+    TransitionType.SLIDE_UP: "slideup",
+    TransitionType.SLIDE_DOWN: "slidedown",
+    TransitionType.ZOOM: "zoomin",
+    TransitionType.WIPE_LEFT: "wipeleft",
+    TransitionType.WIPE_RIGHT: "wiperight",
+    TransitionType.WIPE_UP: "wipeup",
+    TransitionType.WIPE_DOWN: "wipedown",
+    TransitionType.CIRCLE_CROP: "circlecrop",
+    TransitionType.RECT_CROP: "rectcrop",
+}
+
+
+# ── 转场配置 ──────────────────────────────────────────────────────────────────
+
+
+@dataclass(slots=True)
+class TransitionConfig:
+    """转场效果配置.
+
+    Attributes:
+        effect: 转场效果名称（见 TransitionType）
+        duration: 转场时长（秒），范围 0.3~2.0，默认 0.5
+    """
+
+    effect: str = CUT_TRANSITION
+    duration: float = DEFAULT_TRANSITION_DURATION
+
+    @classmethod
+    def parse(cls, effect: str | None = None, duration: float | None = None) -> "TransitionConfig":
+        """解析并验证转场配置，自动处理边界和降级.
+
+        Args:
+            effect: 转场效果名称（None 或空则使用默认 cut）
+            duration: 转场时长（None 则使用默认值）
+
+        Returns:
+            验证后的 TransitionConfig
+        """
+        # 处理 effect
+        final_effect = CUT_TRANSITION
+        if effect and effect.strip():
+            effect_clean = effect.strip()
+            if TransitionType.is_supported(effect_clean):
+                final_effect = _resolve_transition_enum(effect_clean).value
+            elif effect_clean.lower() == CUT_TRANSITION:
+                final_effect = CUT_TRANSITION
+            else:
+                # 降级：不支持的转场 → 硬切，不阻断渲染
+                logger.warning(
+                    "不支持的转场效果 '%s'，已降级为硬切（cut）",
+                    effect_clean,
+                )
+                final_effect = CUT_TRANSITION
+
+        # 处理 duration：边界钳制
+        final_duration = DEFAULT_TRANSITION_DURATION
+        if duration is not None:
+            try:
+                d = float(duration)
+                if d < MIN_TRANSITION_DURATION:
+                    logger.warning(
+                        "转场时长 %.3fs 小于最小值 %.1fs，已钳制到最小值",
+                        d,
+                        MIN_TRANSITION_DURATION,
+                    )
+                    final_duration = MIN_TRANSITION_DURATION
+                elif d > MAX_TRANSITION_DURATION:
+                    logger.warning(
+                        "转场时长 %.3fs 大于最大值 %.1fs，已钳制到最大值",
+                        d,
+                        MAX_TRANSITION_DURATION,
+                    )
+                    final_duration = MAX_TRANSITION_DURATION
+                else:
+                    final_duration = d
+            except (TypeError, ValueError):
+                logger.warning("无效的转场时长 '%s'，使用默认值 %.1fs", duration, DEFAULT_TRANSITION_DURATION)
+                final_duration = DEFAULT_TRANSITION_DURATION
+
+        return cls(effect=final_effect, duration=final_duration)
+
+    @property
+    def is_cut(self) -> bool:
+        """是否为硬切（无转场效果）."""
+        return self.effect == CUT_TRANSITION
+
+    @property
+    def ffmpeg_transition(self) -> str:
+        """获取对应的 FFmpeg xfade transition 名称."""
+        if self.is_cut:
+            return ""
+        enum_type = _resolve_transition_enum(self.effect)
+        return _FFMPEG_XFADE_MAP.get(enum_type, "fade")
+
+
+def _resolve_transition_enum(name: str) -> TransitionType:
+    """将名称解析为 TransitionType 枚举，必须先通过 is_supported 校验."""
+    normalized = _normalize_transition_name(name)
+    return _NAME_TO_ENUM_MAP.get(normalized, TransitionType.FADE)
+
+
+# ── 转场引擎 ──────────────────────────────────────────────────────────────────
+
+
+class TransitionEngine:
+    """转场特效引擎.
+
+    封装转场配置验证、降级策略和 xfade 滤镜链构建，
+    供 UnifiedRenderService 等上层调用。
+
+    用法::
+
+        engine = TransitionEngine(default_duration=0.5)
+        config = engine.resolve_config("fade", 0.8)
+        filter_str, total_dur = engine.build_xfade_chain(
+            clip_durations=[3.0, 4.0, 5.0],
+            clip_video_labels=["v0", "v1", "v2"],
+            transitions=["cut", "fade", "dissolve"],
+        )
+    """
+
+    def __init__(self, default_duration: float = DEFAULT_TRANSITION_DURATION) -> None:
+        """初始化转场引擎.
+
+        Args:
+            default_duration: 默认转场时长（秒），用于未指定时长的 clip
+        """
+        self._default_duration = default_duration
+
+    def resolve_config(
+        self,
+        effect: str | None = None,
+        duration: float | None = None,
+    ) -> TransitionConfig:
+        """解析单个转场配置，应用验证和降级.
+
+        Args:
+            effect: 转场效果名称
+            duration: 转场时长
+
+        Returns:
+            验证后的 TransitionConfig
+        """
+        # 若未指定 duration，使用引擎默认值
+        dur = duration if duration is not None else self._default_duration
+        return TransitionConfig.parse(effect=effect, duration=dur)
+
+    def resolve_clip_transitions(
+        self,
+        clip_transitions: list[str],
+        clip_durations: list[float] | None = None,
+    ) -> list[TransitionConfig]:
+        """批量解析 clip 级别的转场配置.
+
+        Args:
+            clip_transitions: 每个 clip 的转场效果名称列表
+            clip_durations: 每个 clip 的时长列表（用于验证转场时长不超过片段时长）
+
+        Returns:
+            TransitionConfig 列表
+        """
+        configs: list[TransitionConfig] = []
+        for i, effect in enumerate(clip_transitions):
+            cfg = self.resolve_config(effect=effect)
+            # 额外校验：转场时长不能超过对应 clip 时长的一半（保守限制）
+            if clip_durations and i < len(clip_durations) and not cfg.is_cut:
+                max_safe_duration = max(MIN_TRANSITION_DURATION, clip_durations[i] * 0.5)
+                if cfg.duration > max_safe_duration:
+                    cfg = TransitionConfig(effect=cfg.effect, duration=max_safe_duration)
+            configs.append(cfg)
+        return configs
+
+    def build_xfade_chain(
+        self,
+        clip_durations: list[float],
+        clip_video_labels: list[str],
+        transitions: list[str],
+        *,
+        transition_duration: float | None = None,
+        output_label: str = "outv",
+    ) -> tuple[str, float]:
+        """构建 xfade 转场滤镜链.
+
+        对每步转场应用验证和降级，然后调用底层 ffmpeg_utils 构建。
+
+        Args:
+            clip_durations: 每个片段的时长
+            clip_video_labels: 每个片段的视频流标签
+            transitions: 每个片段对应的转场效果
+            transition_duration: 统一转场时长，None 则使用引擎默认值
+            output_label: 最终输出标签
+
+        Returns:
+            (filter_string, estimated_total_duration)
+        """
+        if len(clip_durations) <= 1:
+            return build_xfade_filter_chain(
+                clip_durations=clip_durations,
+                clip_video_labels=clip_video_labels,
+                transitions=transitions,
+                transition_duration=transition_duration or self._default_duration,
+                output_label=output_label,
+            )
+
+        # 解析所有转场配置
+        resolved = self.resolve_clip_transitions(transitions, clip_durations)
+        resolved_effects = [c.effect for c in resolved]
+
+        # 使用统一的时长（取各转场中最大的时长作为基准，底层会做每步钳制）
+        dur = transition_duration or self._default_duration
+        if not dur:
+            dur = max(c.duration for c in resolved) if resolved else DEFAULT_TRANSITION_DURATION
+
+        # 调用底层构建
+        return build_xfade_filter_chain(
+            clip_durations=clip_durations,
+            clip_video_labels=clip_video_labels,
+            transitions=resolved_effects,
+            transition_duration=dur,
+            output_label=output_label,
+        )
+
+    @staticmethod
+    def supported_transitions() -> list[dict[str, str]]:
+        """获取所有支持的转场效果列表（用于 API 返回给前端）.
+
+        Returns:
+            [{name, display_name, category}, ...]
+        """
+        return [
+            {"name": "cut", "display_name": "硬切", "category": "basic"},
+            {"name": "fade", "display_name": "淡入淡出", "category": "basic"},
+            {"name": "dissolve", "display_name": "溶解", "category": "basic"},
+            {"name": "slideleft", "display_name": "左滑入", "category": "slide"},
+            {"name": "slideright", "display_name": "右滑入", "category": "slide"},
+            {"name": "slideup", "display_name": "上滑入", "category": "slide"},
+            {"name": "slidedown", "display_name": "下滑入", "category": "slide"},
+            {"name": "zoom", "display_name": "缩放", "category": "zoom"},
+            {"name": "wipeleft", "display_name": "左擦除", "category": "wipe"},
+            {"name": "wiperight", "display_name": "右擦除", "category": "wipe"},
+            {"name": "wipeup", "display_name": "上擦除", "category": "wipe"},
+            {"name": "wipedown", "display_name": "下擦除", "category": "wipe"},
+            {"name": "circlecrop", "display_name": "圆形扩散", "category": "special"},
+            {"name": "rectcrop", "display_name": "矩形扩散", "category": "special"},
+        ]

apps/worker/video_processing/trim_engine.py

@@ -0,0 +1,339 @@
+"""裁剪引擎 — 基于 FFmpeg trim/atrim 的精确帧级裁剪.
+
+支持：
+- 入点出点裁剪（start_time / end_time / duration 三选二）
+- 边界自动钳制（超出素材时长自动修正，不阻断渲染）
+- 多段裁剪（一个素材裁剪出多段）
+- 音画同步（视频 + 音频同步裁剪）
+"""
+
+from __future__ import annotations
+
+import logging
+from dataclasses import dataclass
+from typing import Any
+
+logger = logging.getLogger(__name__)
+
+# 最小裁剪时长（秒），低于此值视为无效
+MIN_TRIM_DURATION = 0.1
+
+
+@dataclass
+class TrimConfig:
+    """裁剪配置.
+
+    三选二规则：start_time / end_time / duration 中必须至少给出两个，
+    第三个会被自动推导。如果三个都给了，以 start_time + duration 为准。
+
+    边界保护：
+    - start_time < 0 → 钳制到 0
+    - end_time > 素材时长 → 钳制到素材时长
+    - 计算出的 duration < 最小阈值 → 标记为无效
+    """
+
+    start_time: float = 0.0  # 入点（素材内时间，秒）
+    end_time: float = 0.0  # 出点（素材内时间，秒），0 表示未指定
+    duration: float = 0.0  # 裁剪时长（秒），0 表示未指定
+
+    @classmethod
+    def from_dict(cls, data: dict[str, Any] | None) -> TrimConfig | None:
+        """从字典构造，无有效裁剪参数时返回 None（不裁剪）."""
+        if not data:
+            return None
+
+        start = float(data.get("start_time", 0) or 0)
+        end = float(data.get("end_time", 0) or 0)
+        dur = float(data.get("duration", 0) or 0)
+
+        # 三个参数都没有 → 不裁剪
+        if start <= 0 and end <= 0 and dur <= 0:
+            return None
+
+        # 至少有两个参数（或一个合理的 start/duration）
+        # 兼容：只传了 start_time → 从 start 开始取到末尾
+        # 兼容：只传了 duration → 从 0 开始取 duration
+        if start > 0 and end <= 0 and dur <= 0:
+            # 只有 start，取到末尾 → 这是"从某点开始"的语义，算有效
+            pass
+        elif dur > 0 and start <= 0 and end <= 0:
+            # 只有 duration → 从开头取 duration，算有效
+            pass
+        elif start <= 0 and end <= 0 and dur <= 0:
+            return None
+
+        return cls(start_time=start, end_time=end, duration=dur)
+
+    def validate_and_resolve(self, asset_duration: float) -> TrimConfig:
+        """根据素材实际时长，解析并钳制裁剪参数.
+
+        返回一个新的 TrimConfig，其中 start_time / end_time / duration 都已确定。
+        如果裁剪无效（时长为0或负数），仍返回但调用方应检查 is_valid。
+        """
+        start = self.start_time
+        end = self.end_time
+        dur = self.duration
+
+        # 边界：start 不能为负
+        if start < 0:
+            start = 0.0
+
+        # 边界：asset_duration 为 0 时保守处理（不裁剪，取全部）
+        if asset_duration <= 0:
+            return TrimConfig(start_time=0.0, end_time=0.0, duration=0.0)
+
+        # 三选二推导
+        # 判断顺序很重要：先判断需要两个显式值的组合，最后判断含默认值的
+        # 情况1：start + end 都有显式值
+        if start > 0 and end > 0:
+            if end <= start:
+                # 出点 <= 入点，无效 → 返回 start 处一个极短片段（调用方会判无效）
+                return TrimConfig(start_time=start, end_time=start, duration=0.0)
+            dur = end - start
+        # 情况2：end + duration 都有显式值
+        elif end > 0 and dur > 0:
+            start = end - dur
+            if start < 0:
+                start = 0.0
+                dur = end  # 重新计算
+        # 情况3：start + duration 都有值（start 可以是 0）
+        elif dur > 0:
+            end = start + dur
+        # 情况4：只有 start → 取到素材末尾
+        elif start > 0 and end <= 0 and dur <= 0:
+            end = asset_duration
+            dur = end - start
+        # 情况5：只有 end → 从开头取到 end
+        elif end > 0 and start <= 0 and dur <= 0:
+            start = 0.0
+            dur = end
+        else:
+            # 都没有 → 不裁剪
+            return TrimConfig(start_time=0.0, end_time=0.0, duration=0.0)
+
+        # 边界钳制：end 不能超过素材时长
+        if end > asset_duration:
+            end = asset_duration
+            dur = end - start
+
+        # 边界钳制：start 不能超过素材时长
+        if start >= asset_duration:
+            start = max(0.0, asset_duration - MIN_TRIM_DURATION)
+            dur = asset_duration - start
+            end = asset_duration
+
+        # 保证 duration 不为负
+        if dur < 0:
+            dur = 0.0
+
+        return TrimConfig(start_time=start, end_time=end, duration=dur)
+
+    @property
+    def is_valid(self) -> bool:
+        """裁剪是否有效（时长大于最小阈值）."""
+        return self.duration >= MIN_TRIM_DURATION
+
+    @property
+    def is_noop(self) -> bool:
+        """是否等价于不裁剪（从0开始取全部）."""
+        return self.start_time <= 0 and self.duration <= 0
+
+    @property
+    def trim_from_start(self) -> bool:
+        """是否从开头裁剪（start_time == 0）."""
+        return self.start_time <= 0
+
+
+@dataclass
+class TrimSegment:
+    """多段裁剪中的一段."""
+
+    segment_id: str  # 段 ID（用于生成唯一标签）
+    trim: TrimConfig  # 裁剪配置
+    order: int = 0  # 排序
+
+    @classmethod
+    def from_dict(cls, data: dict[str, Any], default_order: int = 0) -> TrimSegment:
+        """从字典构造."""
+        return cls(
+            segment_id=str(data.get("segment_id", "") or f"seg_{default_order}"),
+            trim=TrimConfig(
+                start_time=float(data.get("start_time", 0) or 0),
+                end_time=float(data.get("end_time", 0) or 0),
+                duration=float(data.get("duration", 0) or 0),
+            ),
+            order=int(data.get("order", default_order)),
+        )
+
+
+class TrimEngine:
+    """裁剪引擎 — 生成 FFmpeg trim / atrim 滤镜."""
+
+    @staticmethod
+    def build_video_trim_filter(
+        input_label: str,
+        trim: TrimConfig,
+        output_label: str,
+    ) -> str:
+        """构建视频裁剪滤镜链.
+
+        Args:
+            input_label: 输入视频标签，如 "[0:v]"
+            trim: 裁剪配置（已解析钳制）
+            output_label: 输出视频标签，如 "[v0_trimmed]"
+
+        Returns:
+            FFmpeg filter 字符串，如 "[0:v]trim=start=10:duration=5,setpts=PTS-STARTPTS[v0_trimmed]"
+        """
+        if trim.is_noop:
+            # 不裁剪，直接直通
+            return f"{input_label}copy{output_label}" if False else f"{input_label}setpts=PTS-STARTPTS{output_label}"
+
+        parts: list[str] = []
+
+        # trim 滤镜参数
+        trim_args: list[str] = []
+        if trim.start_time > 0:
+            trim_args.append(f"start={trim.start_time:.3f}")
+        if trim.duration > 0:
+            trim_args.append(f"duration={trim.duration:.3f}")
+        elif trim.end_time > 0:
+            # end 用 duration 表示（start 到 end 的时长）
+            # 但 validate_and_resolve 后应该已经有 duration 了
+            pass
+
+        parts.append(f"trim={':'.join(trim_args)}")
+        parts.append("setpts=PTS-STARTPTS")
+
+        filter_str = f"{input_label}{','.join(parts)}{output_label}"
+        return filter_str
+
+    @staticmethod
+    def build_audio_trim_filter(
+        input_label: str,
+        trim: TrimConfig,
+        output_label: str,
+    ) -> str:
+        """构建音频裁剪滤镜链.
+
+        Args:
+            input_label: 输入音频标签，如 "[0:a]"
+            trim: 裁剪配置（已解析钳制）
+            output_label: 输出音频标签，如 "[a0_trimmed]"
+
+        Returns:
+            FFmpeg filter 字符串，如 "[0:a]atrim=start=10:duration=5,asetpts=PTS-STARTPTS[a0_trimmed]"
+        """
+        if trim.is_noop:
+            return f"{input_label}asetpts=PTS-STARTPTS{output_label}"
+
+        parts: list[str] = []
+
+        trim_args: list[str] = []
+        if trim.start_time > 0:
+            trim_args.append(f"start={trim.start_time:.3f}")
+        if trim.duration > 0:
+            trim_args.append(f"duration={trim.duration:.3f}")
+
+        parts.append(f"atrim={':'.join(trim_args)}")
+        parts.append("asetpts=PTS-STARTPTS")
+
+        filter_str = f"{input_label}{','.join(parts)}{output_label}"
+        return filter_str
+
+    @staticmethod
+    def resolve_segments(
+        segments: list[TrimSegment],
+        asset_duration: float,
+    ) -> list[TrimSegment]:
+        """解析并钳制多段裁剪配置，过滤无效段.
+
+        Args:
+            segments: 原始段列表
+            asset_duration: 素材实际时长
+
+        Returns:
+            解析后的有效段列表，按 order 排序
+        """
+        resolved: list[TrimSegment] = []
+        for i, seg in enumerate(segments):
+            resolved_trim = seg.trim.validate_and_resolve(asset_duration)
+            if not resolved_trim.is_valid:
+                logger.warning("裁剪段无效，跳过: segment_id=%s duration=%.3f", seg.segment_id, resolved_trim.duration)
+                continue
+            resolved.append(
+                TrimSegment(
+                    segment_id=seg.segment_id,
+                    trim=resolved_trim,
+                    order=seg.order if seg.order >= 0 else i,
+                )
+            )
+
+        resolved.sort(key=lambda s: s.order)
+        return resolved
+
+    @staticmethod
+    def parse_segments_from_config(config: dict[str, Any] | None) -> list[TrimSegment]:
+        """从 clip config 中解析多段裁剪配置.
+
+        config 中支持：
+        - trim_segments: [ {segment_id, start_time, end_time, duration, order}, ... ]
+        - trim_start / trim_end / trim_duration: 单段裁剪（兼容旧格式）
+        """
+        if not config:
+            return []
+
+        # 优先解析多段
+        raw_segments = config.get("trim_segments", [])
+        if raw_segments and isinstance(raw_segments, list):
+            segments = []
+            for i, raw in enumerate(raw_segments):
+                if isinstance(raw, dict):
+                    segments.append(TrimSegment.from_dict(raw, default_order=i))
+            return segments
+
+        # 单段裁剪兼容：从 trim_start/trim_end/trim_duration 构造
+        has_single = any(k in config for k in ("trim_start", "trim_end", "trim_duration"))
+        if has_single:
+            seg = TrimSegment(
+                segment_id="main",
+                trim=TrimConfig(
+                    start_time=float(config.get("trim_start", 0) or 0),
+                    end_time=float(config.get("trim_end", 0) or 0),
+                    duration=float(config.get("trim_duration", 0) or 0),
+                ),
+                order=0,
+            )
+            return [seg]
+
+        return []
+
+
+# ── 工具函数 ──────────────────────────────────────────────────────────────────
+
+
+def extract_trim_from_clip_config(config: dict[str, Any] | None) -> TrimConfig | None:
+    """从 clip config 中提取单段裁剪配置.
+
+    兼容以下字段名：
+    - trim_start / trim_end / trim_duration
+    - start_time / end_time / duration（在 trim 子字典里）
+    """
+    if not config:
+        return None
+
+    # trim 子字典
+    if "trim" in config and isinstance(config["trim"], dict):
+        return TrimConfig.from_dict(config["trim"])
+
+    # 扁平字段
+    has_any = any(k in config for k in ("trim_start", "trim_end", "trim_duration"))
+    if not has_any:
+        return None
+
+    data = {
+        "start_time": config.get("trim_start", 0),
+        "end_time": config.get("trim_end", 0),
+        "duration": config.get("trim_duration", 0),
+    }
+    return TrimConfig.from_dict(data)

apps/worker/video_processing/tts_engine.py

@@ -0,0 +1,275 @@
+"""TTS 配音引擎 — 集成到统一渲染管道的配音能力.
+
+负责：
+- 根据 TtsConfig 生成配音音频
+- 字幕联动：按字幕片段分段合成，自动对齐时间轴
+- 整段配音：整段文本生成一条音频
+- 失败降级：TTS 失败不阻断渲染
+"""
+
+from __future__ import annotations
+
+import logging
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any
+
+from packages.domain.tts_config import TtsConfig
+from packages.ports.tts_service import TtsError, TtsService
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class VoiceoverSegment:
+    """配音片段.
+
+    Attributes:
+        text: 文本内容
+        start_time: 开始时间（秒）
+        end_time: 结束时间（秒）
+        audio_path: 合成后的音频文件路径
+        duration: 音频实际时长
+    """
+
+    text: str
+    start_time: float = 0.0
+    end_time: float = 0.0
+    audio_path: Path | None = None
+    duration: float = 0.0
+
+
+@dataclass
+class VoiceoverResult:
+    """配音结果.
+
+    Attributes:
+        success: 是否成功
+        segments: 配音片段列表
+        total_duration: 总时长
+        error_message: 错误信息（失败时）
+    """
+
+    success: bool = False
+    segments: list[VoiceoverSegment] = field(default_factory=list)
+    total_duration: float = 0.0
+    error_message: str = ""
+
+
+class TtsEngine:
+    """TTS 配音引擎.
+
+    封装 TtsService 调用，支持：
+    - 整段配音
+    - 字幕联动配音
+    - 失败降级
+    """
+
+    def __init__(
+        self,
+        tts_service: TtsService,
+        work_dir: Path,
+    ) -> None:
+        self._tts = tts_service
+        self._work_dir = work_dir
+        self._work_dir.mkdir(parents=True, exist_ok=True)
+
+    def generate_full_voiceover(
+        self,
+        config: TtsConfig,
+        *,
+        total_duration: float = 0.0,
+    ) -> VoiceoverResult:
+        """生成整段配音.
+
+        Args:
+            config: TTS 配置
+            total_duration: 视频总时长（用于调整配音速度适配）
+
+        Returns:
+            配音结果
+        """
+        if not config.enabled or not config.text.strip():
+            return VoiceoverResult(success=False, error_message="配音未启用或文本为空")
+
+        try:
+            output_path = self._work_dir / "voiceover_full.wav"
+
+            audio_path = self._tts.synthesize(
+                text=config.text,
+                voice_id=config.voice_id,
+                speed=config.speed,
+                pitch=config.pitch,
+                output_path=output_path,
+            )
+
+            # 探测实际时长
+            duration = self._probe_duration(audio_path)
+
+            segment = VoiceoverSegment(
+                text=config.text,
+                start_time=0.0,
+                end_time=duration,
+                audio_path=audio_path,
+                duration=duration,
+            )
+
+            return VoiceoverResult(
+                success=True,
+                segments=[segment],
+                total_duration=duration,
+            )
+
+        except TtsError as e:
+            logger.warning("TTS 整段配音失败，降级跳过: %s", e)
+            return VoiceoverResult(success=False, error_message=str(e))
+        except Exception as e:
+            logger.warning("TTS 整段配音异常，降级跳过: %s", e)
+            return VoiceoverResult(success=False, error_message=str(e))
+
+    def generate_subtitle_voiceover(
+        self,
+        config: TtsConfig,
+        subtitles: list[dict[str, Any]],
+    ) -> VoiceoverResult:
+        """根据字幕生成配音（字幕联动）.
+
+        每个字幕片段独立合成，按字幕时间轴对齐。
+
+        Args:
+            config: TTS 配置
+            subtitles: 字幕列表，每项含 text/start_time/end_time
+
+        Returns:
+            配音结果
+        """
+        if not config.enabled:
+            return VoiceoverResult(success=False, error_message="配音未启用")
+
+        if not subtitles:
+            return VoiceoverResult(success=False, error_message="字幕为空")
+
+        segments: list[VoiceoverSegment] = []
+        total_duration = 0.0
+
+        for i, sub in enumerate(subtitles):
+            text = sub.get("text", "").strip()
+            if not text:
+                continue
+
+            start_time = float(sub.get("start_time", 0))
+            end_time = float(sub.get("end_time", 0))
+            target_duration = max(0.1, end_time - start_time)
+
+            try:
+                # 计算适配时长所需语速：让配音时长 ≈ 字幕时长
+                estimated = self._tts.estimate_duration(text, speed=config.speed)
+                adjusted_speed = config.speed
+                if estimated > 0 and target_duration > 0:
+                    # 按目标时长调整语速，限制在 0.5~2.0 范围内
+                    speed_factor = estimated / target_duration
+                    adjusted_speed = max(0.5, min(2.0, config.speed * speed_factor))
+
+                output_path = self._work_dir / f"voiceover_seg_{i:03d}.wav"
+
+                audio_path = self._tts.synthesize(
+                    text=text,
+                    voice_id=config.voice_id,
+                    speed=adjusted_speed,
+                    pitch=config.pitch,
+                    output_path=output_path,
+                )
+
+                actual_duration = self._probe_duration(audio_path)
+
+                segment = VoiceoverSegment(
+                    text=text,
+                    start_time=start_time,
+                    end_time=start_time + actual_duration,
+                    audio_path=audio_path,
+                    duration=actual_duration,
+                )
+                segments.append(segment)
+                total_duration = max(total_duration, start_time + actual_duration)
+
+            except TtsError as e:
+                logger.warning("TTS 字幕片段 %d 合成失败，跳过: %s", i, e)
+                continue
+            except Exception as e:
+                logger.warning("TTS 字幕片段 %d 异常，跳过: %s", i, e)
+                continue
+
+        if not segments:
+            return VoiceoverResult(success=False, error_message="所有字幕片段合成失败")
+
+        return VoiceoverResult(
+            success=True,
+            segments=segments,
+            total_duration=total_duration,
+        )
+
+    def build_audio_mix_filter(
+        self,
+        result: VoiceoverResult,
+        *,
+        video_duration: float,
+        base_label: str = "0:a",
+    ) -> tuple[str, list[Path]]:
+        """构建配音混音滤镜.
+
+        将配音片段按时间轴排列，生成 amix 混入。
+
+        Args:
+            result: 配音结果
+            video_duration: 视频总时长
+            base_label: 基础音轨标签
+
+        Returns:
+            (filter_complex 字符串, 配音音频文件列表)
+        """
+        if not result.success or not result.segments:
+            return "", []
+
+        filter_parts: list[str] = []
+        audio_files: list[Path] = []
+        delay_labels: list[str] = []
+
+        for i, seg in enumerate(result.segments):
+            if seg.audio_path is None or not seg.audio_path.exists():
+                continue
+
+            audio_files.append(seg.audio_path)
+            seg_label = f"v{i}"
+
+            # 音量调整
+            # 用 adelay 延迟到字幕开始时间
+            delay_ms = int(max(0, int(seg.start_time * 1000)))
+            filter_parts.append(f"[{i}:a]adelay={delay_ms}:all=1,volume=0.8[{seg_label}]")
+            delay_labels.append(f"[{seg_label}]")
+
+        if not delay_labels:
+            return "", []
+
+        # 所有片段 concat 成一条配音音轨（用 amix 叠加多个延时后的片段
+        mix_inputs = "".join(delay_labels)
+        n_inputs = len(delay_labels)
+        tts_label = "tts_mixed"
+
+        if n_inputs == 1:
+            # 单个片段直接用
+            filter_parts.append(f"{delay_labels[0]}[{tts_label}]")
+        else:
+            # 多个片段 amix 叠加
+            filter_parts.append(f"{mix_inputs}amix=inputs={n_inputs}:duration=longest[{tts_label}]")
+
+        return ";".join(filter_parts), audio_files
+
+    def _probe_duration(self, audio_path: Path) -> float:
+        """探测音频时长."""
+        try:
+            from video_processing.ffmpeg_utils import probe_duration
+
+            return probe_duration(audio_path)
+        except Exception:
+            # 探测失败，按文件名估算
+            return 0.0

apps/worker/video_processing/watermark_engine.py

@@ -0,0 +1,315 @@
+"""水印引擎 — 基于 FFmpeg overlay 滤镜的水印叠加.
+
+支持：
+- 图片水印（PNG/logo）
+- 文字水印（drawtext）
+- 9宫格位置 + 边距配置
+- 透明度/大小缩放
+- 滚动水印（跑马灯）
+"""
+
+from __future__ import annotations
+
+import logging
+from dataclasses import dataclass
+from typing import Any
+
+logger = logging.getLogger(__name__)
+
+# 9宫格位置枚举
+WATERMARK_POSITIONS = {
+    "top_left": "左上",
+    "top_center": "中上",
+    "top_right": "右上",
+    "center_left": "左中",
+    "center": "中心",
+    "center_right": "右中",
+    "bottom_left": "左下",
+    "bottom_center": "中下",
+    "bottom_right": "右下",
+}
+
+
+@dataclass
+class WatermarkConfig:
+    """水印配置.
+
+    mode: "image" 图片水印 | "text" 文字水印
+    position: 9宫格位置
+    opacity: 透明度 0.0-1.0
+    scale: 缩放比例（图片水印），0.1-1.0
+    margin: 边距（像素）
+    scroll: 是否滚动（跑马灯）
+    scroll_speed: 滚动速度（像素/秒）
+    """
+
+    mode: str = "text"  # image | text
+    position: str = "bottom_right"
+
+    # 图片水印
+    image_path: str = ""  # 本地图片路径
+    scale: float = 0.2  # 相对输出宽度的比例
+    opacity: float = 0.8  # 0.0-1.0
+
+    # 文字水印
+    text: str = ""
+    font_size: int = 24
+    font_color: str = "white"
+    font_path: str = ""  # 字体文件路径
+
+    # 边距
+    margin_x: int = 20
+    margin_y: int = 20
+
+    # 滚动水印
+    scroll: bool = False
+    scroll_speed: int = 50  # 像素/秒
+
+    @classmethod
+    def from_dict(cls, data: dict[str, Any] | None) -> WatermarkConfig | None:
+        """从字典构造，空配置返回 None（不加水印）."""
+        if not data:
+            return None
+
+        enabled = data.get("enabled", False)
+        if not enabled:
+            return None
+
+        mode = data.get("mode", "text")
+
+        # 图片模式需要 image_path；文字模式需要 text
+        if mode == "image":
+            image_path = data.get("image_path", "") or data.get("image", "") or ""
+            if not image_path:
+                logger.warning("图片水印缺少 image_path，跳过水印")
+                return None
+        elif mode == "text":
+            text = data.get("text", "") or ""
+            if not text:
+                logger.warning("文字水印缺少 text，跳过水印")
+                return None
+
+        position = data.get("position", "bottom_right")
+        if position not in WATERMARK_POSITIONS:
+            position = "bottom_right"
+
+        return cls(
+            mode=mode,
+            position=position,
+            image_path=str(data.get("image_path", data.get("image", "")) or ""),
+            scale=float(data.get("scale", 0.2)),
+            opacity=float(data.get("opacity", 0.8)),
+            text=str(data.get("text", "") or ""),
+            font_size=int(data.get("font_size", 24)),
+            font_color=str(data.get("font_color", "white")),
+            font_path=str(data.get("font_path", "") or ""),
+            margin_x=int(data.get("margin_x", 20)),
+            margin_y=int(data.get("margin_y", 20)),
+            scroll=bool(data.get("scroll", False)),
+            scroll_speed=int(data.get("scroll_speed", 50)),
+        )
+
+    def validate(self) -> tuple[bool, str]:
+        """校验配置是否有效."""
+        if self.position not in WATERMARK_POSITIONS:
+            return False, f"不支持的位置: {self.position}"
+
+        if not (0.0 <= self.opacity <= 1.0):
+            return False, "透明度必须在 0-1 之间"
+
+        if self.mode == "image":
+            if not self.image_path:
+                return False, "图片水印缺少图片路径"
+            if not (0.01 <= self.scale <= 1.0):
+                return False, "缩放比例必须在 0.01-1.0 之间"
+        elif self.mode == "text":
+            if not self.text:
+                return False, "文字水印缺少文字内容"
+            if self.font_size <= 0:
+                return False, "字体大小必须大于 0"
+        else:
+            return False, f"不支持的水印模式: {self.mode}"
+
+        return True, ""
+
+
+class WatermarkEngine:
+    """水印引擎 — 生成 FFmpeg 水印滤镜."""
+
+    @staticmethod
+    def calc_position(
+        position: str,
+        output_width: int,
+        output_height: int,
+        wm_width: int,
+        wm_height: int,
+        margin_x: int,
+        margin_y: int,
+    ) -> tuple[int, int]:
+        """根据9宫格位置计算水印坐标 (x, y).
+
+        坐标系：左上角为 (0, 0)
+        """
+        if position == "top_left":
+            return margin_x, margin_y
+        elif position == "top_center":
+            return (output_width - wm_width) // 2, margin_y
+        elif position == "top_right":
+            return output_width - wm_width - margin_x, margin_y
+        elif position == "center_left":
+            return margin_x, (output_height - wm_height) // 2
+        elif position == "center":
+            return (output_width - wm_width) // 2, (output_height - wm_height) // 2
+        elif position == "center_right":
+            return output_width - wm_width - margin_x, (output_height - wm_height) // 2
+        elif position == "bottom_left":
+            return margin_x, output_height - wm_height - margin_y
+        elif position == "bottom_center":
+            return (output_width - wm_width) // 2, output_height - wm_height - margin_y
+        elif position == "bottom_right":
+            return output_width - wm_width - margin_x, output_height - wm_height - margin_y
+        else:
+            # 默认右下角
+            return output_width - wm_width - margin_x, output_height - wm_height - margin_y
+
+    @staticmethod
+    def calc_scroll_x(position: str, output_width: int, wm_width: int, speed: int) -> str:
+        """生成滚动水印的 x 坐标表达式.
+
+        从右向左滚动（跑马灯效果）
+        """
+        # x 从 W 到 -wm_width，整个宽度 + wm_width 的距离
+        # 使用 overlay 的 enable 表达式
+        # x = 'W - (t * speed)' → 不对，应该是持续滚动
+        # 标准跑马灯：x = -w + (t * speed) % (W + w)
+        # 但 FFmpeg overlay 支持表达式
+        return f"mod({output_width}-mod({speed}*t\\,{output_width}+{wm_width})"
+
+    @staticmethod
+    def build_image_watermark_filter(
+        input_video_label: str,
+        wm_image_path: str,
+        output_width: int,
+        output_height: int,
+        output_label: str,
+        config: WatermarkConfig,
+    ) -> tuple[str, list[str]]:
+        """构建图片水印滤镜链.
+
+        Args:
+            input_video_label: 输入视频标签，如 "[final_video]"
+            wm_image_path: 水印图片本地路径
+            output_width: 输出视频宽度
+            output_height: 输出视频高度
+            output_label: 输出标签
+            config: 水印配置
+
+        Returns:
+            (filter_complex_str, input_args_list)
+            input_args 是 ["-i", wm_image_path] 格式
+        """
+        # 计算水印尺寸（按输出宽度比例缩放）
+        wm_width = int(output_width * config.scale)
+        wm_height = -1  # 保持比例
+        wm_filter = f"scale={wm_width}:{wm_height}"
+
+        # 透明度处理
+        if config.opacity < 1.0:
+            wm_filter += f",format=rgba,colorchannelmixer=aa={config.opacity}"
+
+        # 水印预处理标签
+        wm_pre_label = "[wm_scaled]"
+
+        # 计算位置
+        x, y = WatermarkEngine.calc_position(
+            config.position,
+            output_width,
+            output_height,
+            wm_width,
+            wm_width,  # 高度未知，先用宽度估算
+            config.margin_x,
+            config.margin_y,
+        )
+
+        # 滚动水印
+        if config.scroll:
+            # 从右向左滚动：x = W - (t * speed) mod (W + wm_w)
+            # 使用 overlay 表达式
+            x_expr = f"{output_width}-mod({config.scroll_speed}*t\\,{output_width}+{wm_width}"
+            y_expr = str(y)
+            overlay_expr = f"x={x_expr}:y={y_expr}"
+        else:
+            overlay_expr = f"x={x}:y={y}"
+
+        # 构建滤镜
+        # 先缩放水印图
+        wm_input_idx = 1  # 假设水印图是第二个输入（索引1
+        filter_parts = [
+            f"[1:v]{wm_filter}{wm_pre_label}",
+            f"{input_video_label}{wm_pre_label}overlay={overlay_expr}{output_label}",
+        ]
+
+        filter_complex = ";".join(filter_parts)
+        input_args = ["-i", wm_image_path]
+
+        return filter_complex, input_args
+
+    @staticmethod
+    def build_text_watermark_filter(
+        input_video_label: str,
+        output_label: str,
+        config: WatermarkConfig,
+        output_width: int,
+        output_height: int,
+    ) -> str:
+        """构建文字水印滤镜（drawtext）.
+
+        Args:
+            input_video_label: 输入视频标签
+            output_label: 输出标签
+            config: 水印配置
+            output_width: 输出宽度
+            output_height: 输出高度
+
+        Returns:
+            FFmpeg filter 字符串
+        """
+        # 转义文字中的特殊字符
+        text = config.text.replace(":", "\\:").replace("'", "\\'")
+
+        # 字体配置
+        font_config = []
+        if config.font_path:
+            font_path_escaped = config.font_path.replace(":", "\\:").replace("'", "\\'")
+            font_config.append(f"fontfile='{font_path_escaped}'")
+        font_config.append(f"fontsize={config.font_size}")
+        font_config.append(f"fontcolor={config.font_color}@{config.opacity}")
+
+        # 估算文字宽高（粗略估算，用于位置计算）
+        # 每个汉字约等于 font_size 宽高
+        approx_w = len(config.text) * config.font_size
+        approx_h = config.font_size
+
+        # 位置计算
+        x, y = WatermarkEngine.calc_position(
+            config.position,
+            output_width,
+            output_height,
+            approx_w,
+            approx_h,
+            config.margin_x,
+            config.margin_y,
+        )
+
+        # 滚动水印
+        if config.scroll:
+            x_expr = f"w-mod({config.scroll_speed}*t\\,W+w)"
+            pos_config = [f"x={x_expr}", f"y={y}"]
+        else:
+            pos_config = [f"x={x}", f"y={y}"]
+
+        # 组装 drawtext
+        drawtext_parts = [f"text='{text}'"] + font_config + pos_config
+        drawtext = "drawtext=" + ":".join(drawtext_parts)
+
+        return f"{input_video_label}{drawtext}{output_label}"

apps/worker/worker_app/celery_app.py

@@ -16,5 +16,6 @@ celery_app.conf.imports = (
     "worker_app.tasks.tts_synthesis",
     "worker_app.tasks.edit_plan_generation",
     "worker_app.tasks.compose_video",
+    "worker_app.tasks.batch_download",
     "apps.worker.video_processing.dedup",
 )

apps/worker/worker_app/tasks/asset_analyzer.py

@@ -10,12 +10,10 @@ from __future__ import annotations
 
 import json
 import logging
-import math
 import os
 import subprocess
 import tempfile
 from dataclasses import dataclass, field
-from typing import Any
 
 import numpy as np
 from PIL import Image

apps/worker/worker_app/tasks/batch_download.py

@@ -0,0 +1,112 @@
+"""批量下载任务 — 将多个成片打包为 zip 上传到 OSS。"""
+
+from __future__ import annotations
+
+import logging
+import os
+import tempfile
+import uuid
+import zipfile
+from pathlib import Path
+
+from worker_app.celery_app import celery_app
+
+logger = logging.getLogger(__name__)
+
+
+@celery_app.task(bind=True, name="worker.batch_download_videos", max_retries=1)
+def batch_download_videos(self, video_ids: list[str], user_id: str = "") -> dict:
+    """批量下载视频并打包为 zip。
+
+    Args:
+        video_ids: 视频 ID 列表
+        user_id: 发起用户 ID
+
+    Returns:
+        {"download_url": "...", "file_count": N, "total_size": total_bytes}
+    """
+    from video_processing.oss_helpers import download_asset, upload_to_oss
+    from worker_app.db import SessionLocal
+
+    from packages.adapters.sqlalchemy_impl.generated_video_repository import (
+        SQLAlchemyGeneratedVideoRepository,
+    )
+
+    session = SessionLocal()
+    try:
+        repo = SQLAlchemyGeneratedVideoRepository(session)
+        videos = repo.get_by_ids(video_ids)
+    finally:
+        session.close()
+
+    if not videos:
+        raise ValueError("No videos found for batch download")
+
+    # 创建临时工作目录
+    with tempfile.TemporaryDirectory() as tmpdir:
+        tmpdir_path = Path(tmpdir)
+        zip_filename = f"videos-{len(videos)}-{video_ids[0][:8]}.zip"
+        zip_path = tmpdir_path / zip_filename
+
+        # 逐个下载视频并加入 zip
+        with zipfile.ZipFile(zip_path, "w", zipfile.ZIP_STORED) as zf:
+            for idx, video in enumerate(videos, 1):
+                logger.info("Batch download: downloading %d/%d %s", idx, len(videos), video.id)
+                try:
+                    # 下载视频到临时文件
+                    local_name = f"{idx:03d}_{video.name}"
+                    local_path = tmpdir_path / local_name
+
+                    # 使用 oss_helpers 的 download_asset，或者直接从 URL 下载
+                    if video.file_url:
+                        _download_video_to_file(video.file_url, str(local_path))
+
+                    if local_path.exists() and local_path.stat().st_size > 0:
+                        zf.write(str(local_path), arcname=local_name)
+                        local_path.unlink(missing_ok=True)
+                    else:
+                        logger.warning("Video %s download failed, skipping", video.id)
+                except Exception as e:
+                    logger.warning("Failed to download video %s: %s", video.id, e)
+                    continue
+
+        # 上传 zip 到 OSS
+        if not zip_path.exists() or zip_path.stat().st_size == 0:
+            raise RuntimeError("Batch download zip file is empty")
+        zip_storage_key = f"batch-downloads/{uuid.uuid4().hex}/{zip_filename}"
+        download_url = upload_to_oss(str(zip_path), zip_storage_key)
+
+        total_size = zip_path.stat().st_size
+        file_count = len(zipfile.ZipFile(str(zip_path), "r").namelist())
+
+        logger.info(
+            "Batch download complete: %d files, %d bytes, url=%s",
+            file_count,
+            total_size,
+            download_url,
+        )
+
+        return {
+            "download_url": download_url,
+            "file_count": file_count,
+            "total_size": total_size,
+            "video_count": len(videos),
+        }
+
+
+def _download_video_to_file(url: str, dest_path: str) -> None:
+    """下载视频文件到本地路径。优先用 OSS SDK 走内网，回退到 HTTP 下载。"""
+    from video_processing.oss_helpers import download_asset
+
+    try:
+        # 尝试走 OSS 下载（如果是 OSS URL 的话）
+        success = download_asset(url, dest_path)
+        if success:
+            return
+    except Exception:
+        pass
+
+    # 回退到 HTTP 下载
+    import urllib.request
+
+    urllib.request.urlretrieve(url, dest_path)  # nosec B310

apps/worker/worker_app/tasks/classification.py

@@ -1,4 +1,3 @@
-from celery import Task
 from celery.utils.log import get_task_logger
 from worker_app.celery_app import celery_app
 
@@ -9,7 +8,6 @@ from packages.adapters.sqlalchemy_impl.classification_job_repository import (
     SQLAlchemyClassificationJobRepository,
 )
 from packages.domain import (
-    ClassificationJob,
     ClassificationJobStatus,
     ClassificationStatus,
 )
@@ -70,6 +68,12 @@ def classify_asset(self, job_id: str) -> dict:
 
             # Update asset with classification status and result
             asset.classification_status = ClassificationStatus.COMPLETED
+            # 把分类结果写入 metadata，供列表筛选和智能视图使用
+            asset.metadata = {
+                **(asset.metadata or {}),
+                "classification": classification,
+                "classification_confidence": confidence,
+            }
             asset_repo.update(asset)
 
             session.commit()

apps/worker/worker_app/tasks/compose_video.py

@@ -5,12 +5,9 @@
 
 from __future__ import annotations
 
-import logging
 import os
-import shutil
 import subprocess
 import tempfile
-from datetime import datetime, timezone
 from pathlib import Path
 
 from celery.utils.log import get_task_logger

apps/worker/worker_app/tasks/edit_plan_generation.py

@@ -21,7 +21,6 @@ import logging
 import tempfile
 from datetime import datetime, timezone
 from pathlib import Path
-from typing import Optional
 
 from worker_app.celery_app import celery_app
 from worker_app.db import SessionLocal

apps/worker/worker_app/tasks/generation.py

@@ -13,15 +13,13 @@
 
 from __future__ import annotations
 
-import json
 import logging
 import os
 import tempfile
 import time
 from dataclasses import dataclass, field
-from datetime import datetime, timezone
 from pathlib import Path
-from typing import Any, Optional
+from typing import Any
 
 from worker_app.celery_app import celery_app
 from worker_app.db import SessionLocal
@@ -69,7 +67,11 @@ def _update_task_status(task_id: str, status_action: str, **kwargs) -> bool:
 
             action(**kwargs)
             repo.update(task)
-            logger.info("GenerationTask 状态更新成功: task_id=%s action=%s", task_id, status_action)
+            logger.info(
+                "GenerationTask 状态更新成功: task_id=%s action=%s",
+                task_id,
+                status_action,
+            )
             return True
         finally:
             session.close()
@@ -84,6 +86,36 @@ def _update_task_status(task_id: str, status_action: str, **kwargs) -> bool:
         return False
 
 
+def _build_error_info(error: Exception, stage: str = "render") -> dict:
+    """构建结构化错误信息。
+
+    Args:
+        error: 异常对象
+        stage: 发生错误的阶段（download/render/merge/upload等）
+
+    Returns:
+        包含 error_type, message, stack_trace, stage, failed_at 的字典
+    """
+    import traceback
+    from datetime import datetime, timezone
+
+    tb_str = traceback.format_exc()
+    # 截取堆栈前20行，避免字段过大
+    tb_lines = tb_str.strip().splitlines()
+    if len(tb_lines) > 20:
+        tb_summary = "\n".join(tb_lines[:20]) + f"\n... (truncated, total {len(tb_lines)} lines)"
+    else:
+        tb_summary = tb_str
+
+    return {
+        "error_type": type(error).__name__,
+        "message": str(error),
+        "stack_trace": tb_summary,
+        "stage": stage,
+        "failed_at": datetime.now(timezone.utc).isoformat(),
+    }
+
+
 # ── 日志持久化辅助 ────────────────────────────────────────────────────────────
 
 
@@ -106,6 +138,7 @@ def _flush_logs(task_id: str, gen_task) -> None:
 
 # ── 共享工具模块导入 ──────────────────────────────────────────────────────────
 
+from services.asr_service_factory import get_asr_service
 from video_processing.dedup_helpers import create_video_record_and_dedup
 from video_processing.ffmpeg_utils import FFMPEG_BIN, probe_duration, run_ffmpeg
 from video_processing.oss_helpers import (
@@ -174,7 +207,6 @@ def _build_plan_and_clips_from_task(
         path_duration[p] = probe_duration(p)
 
     clips: list[_VirtualClip] = []
-    n = len(downloaded_paths)
 
     if mode == "pip":
         # 1 main + N-1 overlay
@@ -303,6 +335,86 @@ def _download_voice_asset(voice_library_id: str, local_path: Path) -> bool:
     return download_asset(storage_key, local_path)
 
 
+def _prepare_bgm_track(
+    *,
+    bgm_config: dict,
+    temp_path: Path,
+    task_id: str = "",
+) -> str | None:
+    """准备 BGM 音频文件（下载到本地）.
+
+    支持 3 种来源（按优先级）：
+    1. audio_url — 外部直链 URL（最高优先级）
+    2. asset_id — 素材库中的音频素材
+    3. preset_id — 预设 BGM 库
+
+    Returns:
+        BGM 本地文件路径，准备失败返回 None
+    """
+    from urllib.parse import urlparse
+
+    audio_url = bgm_config.get("audio_url", "") or ""
+    asset_id = bgm_config.get("asset_id", "") or ""
+    preset_id = bgm_config.get("preset_id", "") or ""
+
+    bgm_file = temp_path / f"bgm_{task_id or 'track'}.mp3"
+
+    # 优先级1：外部直链 URL
+    if audio_url:
+        try:
+            parsed = urlparse(audio_url)
+            if parsed.scheme in ("http", "https"):
+                import urllib.request
+
+                logger.info("[task_id=%s] [BGM] 从URL下载: %s", task_id, audio_url[:80])
+                urllib.request.urlretrieve(audio_url, bgm_file)  # nosec B310
+                if bgm_file.exists() and bgm_file.stat().st_size > 0:
+                    return str(bgm_file)
+        except Exception as e:
+            logger.warning("[task_id=%s] [BGM] URL下载失败: %s", task_id, e)
+
+    # 优先级2：素材库素材
+    if asset_id:
+        try:
+            from app.core.db import SessionLocal
+
+            from packages.adapters.sqlalchemy_impl.models import AssetModel
+
+            session = SessionLocal()
+            try:
+                model = session.query(AssetModel).filter(AssetModel.id == asset_id).first()
+                if model and model.file_url:
+                    storage_key = model.file_url
+                    logger.info("[task_id=%s] [BGM] 从素材库下载: asset_id=%s", task_id, asset_id)
+                    ok = download_asset(storage_key, bgm_file)
+                    if ok and bgm_file.exists() and bgm_file.stat().st_size > 0:
+                        return str(bgm_file)
+            finally:
+                session.close()
+        except Exception as e:
+            logger.warning("[task_id=%s] [BGM] 素材库下载失败: %s", task_id, e)
+
+    # 优先级3：预设 BGM 库
+    if preset_id:
+        try:
+            from packages.domain.preset_bgm import get_preset_bgm
+
+            preset = get_preset_bgm(preset_id)
+            if preset and preset.audio_url:
+                import urllib.request
+
+                logger.info("[task_id=%s] [BGM] 从预设库下载: preset_id=%s", task_id, preset_id)
+                urllib.request.urlretrieve(preset.audio_url, bgm_file)  # nosec B310
+                if bgm_file.exists() and bgm_file.stat().st_size > 0:
+                    return str(bgm_file)
+        except Exception as e:
+            logger.warning("[task_id=%s] [BGM] 预设库下载失败: %s", task_id, e)
+
+    # 所有来源都失败
+    logger.warning("[task_id=%s] [BGM] 所有来源都无法获取BGM，跳过", task_id)
+    return None
+
+
 def _verify_url_accessible(url: str, timeout: float = 10.0, retries: int = 2) -> bool:
     """HEAD 请求校验 URL 可访问（含重试，防止 OSS 抖动误报）。
 
@@ -461,7 +573,10 @@ def _download_library_assets(
                 if not storage_key:
                     failed_assets.append(f"{asset.name}({asset.id})")
                     logger.warning(
-                        "[task_id=%s] 素材缺少 file_url, 跳过: asset_id=%s name=%s", task_id, asset.id, asset.name
+                        "[task_id=%s] 素材缺少 file_url, 跳过: asset_id=%s name=%s",
+                        task_id,
+                        asset.id,
+                        asset.name,
                     )
                     if gen_task:
                         gen_task.append_log(
@@ -507,7 +622,12 @@ def _download_library_assets(
                         )
                 else:
                     failed_assets.append(f"{asset.name}({asset.id})")
-                    logger.warning("[task_id=%s] Failed to download asset: %s (id=%s)", task_id, asset.name, asset.id)
+                    logger.warning(
+                        "[task_id=%s] Failed to download asset: %s (id=%s)",
+                        task_id,
+                        asset.name,
+                        asset.id,
+                    )
                     if gen_task:
                         gen_task.append_log(
                             "下载素材",
@@ -716,6 +836,256 @@ def _render_with_legacy_engine(
     return duration, file_size
 
 
+# ── generate_video 阶段子函数 ─────────────────────────────────────────────────
+
+
+def _load_task_info(task_id: str) -> dict | None:
+    """从数据库加载 GenerationTask 元数据。
+
+    Returns:
+        包含任务元数据的字典，任务不存在时返回 None。
+    """
+    from packages.adapters.sqlalchemy_impl.generation_task_repository import (
+        SQLAlchemyGenerationTaskRepository,
+    )
+
+    session = SessionLocal()
+    try:
+        task_repo = SQLAlchemyGenerationTaskRepository(session)
+        gen_task = task_repo.get(task_id)
+        if gen_task is None:
+            return None
+
+        return {
+            "project_id": gen_task.project_id,
+            "asset_library_id": gen_task.asset_library_id,
+            "voice_library_id": gen_task.voice_library_id or "",
+            "template_id": getattr(gen_task, "template_id", "") or "",
+            "mode": gen_task.strategy_id or "one_take",
+            "task_asset_ids": list(gen_task.asset_ids or []),
+            "batch_id": getattr(gen_task, "batch_id", "") or "",
+            "user_id": getattr(gen_task, "created_by_user_id", "") or "",
+        }
+    finally:
+        session.close()
+
+
+def _download_all_assets(
+    temp_path: Path,
+    asset_library_id: str,
+    project_id: str,
+    task_asset_ids: list[str],
+    voice_library_id: str,
+    task_id: str,
+) -> tuple[list[Path], str | None]:
+    """下载视频素材和配音素材。
+
+    Returns:
+        (downloaded_videos, audio_path)
+
+    Note: gen_task 不传入下载函数（session 已关闭），
+    主函数在下载前后已有汇总日志。
+    """
+    logger.info("[task_id=%s] [下载素材] 开始下载视频素材", task_id)
+    download_start = time.monotonic()
+    downloaded_videos = _download_library_assets(
+        temp_path,
+        asset_library_id=asset_library_id,
+        project_id=project_id,
+        asset_ids=task_asset_ids or None,
+        task_id=task_id,
+    )
+    download_elapsed = time.monotonic() - download_start
+    logger.info(
+        "[task_id=%s] [下载素材] 完成: 成功=%d个, 耗时=%.1fs",
+        task_id,
+        len(downloaded_videos),
+        download_elapsed,
+    )
+
+    audio_path: str | None = None
+    if voice_library_id:
+        local_audio = temp_path / "voice.mp3"
+        if _download_voice_asset(voice_library_id, local_audio):
+            audio_path = str(local_audio)
+            logger.info("[task_id=%s] [下载配音] 配音下载成功", task_id)
+
+    return downloaded_videos, audio_path
+
+
+def _render_video(
+    task_id: str,
+    downloaded_videos: list[Path],
+    voice_path: str | None,
+    editing_mode,
+    project_id: str,
+    template_id: str,
+    user_id: str,
+    temp_path: Path,
+    output_name: str,
+) -> tuple[Path, float]:
+    """渲染视频（含配音混音）。
+
+    Returns:
+        (output_path, render_duration)
+    """
+    if not downloaded_videos:
+        raise RuntimeError(f"素材下载结果为空: task_id={task_id}")
+
+    # 构建虚拟 plan + clips
+    virtual_plan, virtual_clips, asset_path_map = _build_plan_and_clips_from_task(
+        task_id=task_id,
+        downloaded_paths=downloaded_videos,
+        mode=editing_mode.value,
+    )
+
+    total_duration = sum(c.duration for c in virtual_clips)
+    logger.info(
+        "[task_id=%s] [剪辑计划] 片段数=%d, 总时长=%.1fs",
+        task_id,
+        len(virtual_clips),
+        total_duration,
+    )
+
+    # 选择渲染引擎
+    engine = _resolve_render_engine(user_id) if user_id else ENGINE_UNIFIED
+    logger.info("[task_id=%s] [渲染] 引擎选择: %s (user_id=%s)", task_id, engine, user_id)
+
+    render_start = time.monotonic()
+    render_output_path = temp_path / f"rendered-{task_id}.mp4"
+
+    if engine == ENGINE_LEGACY:
+        render_duration, _ = _render_with_legacy_engine(
+            task_id=task_id,
+            virtual_clips=virtual_clips,
+            asset_path_map=asset_path_map,
+            work_dir=temp_path,
+            output_path=render_output_path,
+        )
+    else:
+        logger.info("[task_id=%s] [渲染] unified 引擎 FFmpeg 渲染开始", task_id)
+
+        # ── 准备 BGM 音频 ──
+        bgm_path: str | None = None
+        plan_config = virtual_plan.config or {}
+        bgm_config = plan_config.get("bgm", {}) or {}
+        if bgm_config.get("enabled", False):
+            try:
+                bgm_path = _prepare_bgm_track(
+                    bgm_config=bgm_config,
+                    temp_path=temp_path,
+                    task_id=task_id,
+                )
+            except Exception as bgm_err:
+                logger.warning("[task_id=%s] [BGM] 准备失败，跳过BGM: %s", task_id, bgm_err)
+                bgm_path = None
+
+        render_service = UnifiedRenderService(
+            plan=virtual_plan,
+            clips=virtual_clips,
+            asset_path_map=asset_path_map,
+            work_dir=temp_path,
+            output_width=OUTPUT_WIDTH,
+            output_height=OUTPUT_HEIGHT,
+            output_fps=int(OUTPUT_FPS),
+            asr_service=get_asr_service(),
+            bgm_path=bgm_path,
+        )
+        render_result = render_service.render()
+        render_output_path = render_result.output_path
+        render_duration = render_result.duration
+
+    render_elapsed = time.monotonic() - render_start
+    logger.info(
+        "[task_id=%s] [渲染] %s 引擎完成: 耗时=%.1fs, 时长=%.2fs",
+        task_id,
+        engine,
+        render_elapsed,
+        render_duration,
+    )
+
+    # 配音混音
+    if voice_path:
+        final_path = temp_path / f"final-{task_id}.mp4"
+        try:
+            _mux_audio_track(render_output_path, voice_path, final_path)
+            output_path = final_path
+        except Exception as mux_err:
+            logger.warning("[task_id=%s] [混音] 音频混合失败，使用无音频版本: %s", task_id, mux_err)
+            output_path = render_output_path
+    else:
+        output_path = render_output_path
+
+    return output_path, render_duration
+
+
+def _upload_and_record(
+    task_id: str,
+    output_path: Path,
+    project_id: str,
+    batch_id: str,
+    editing_mode,
+) -> tuple[str, float, int, int]:
+    """上传 OSS、创建视频记录并查重。
+
+    Returns:
+        (file_url, duration, file_size, video_count)
+    """
+    storage_key = f"generated/projects/{project_id}/tasks/{task_id}/{output_path.name}"
+    file_size = output_path.stat().st_size
+
+    # 上传 OSS
+    logger.info("[task_id=%s] [OSS上传] 开始上传: size=%d", task_id, file_size)
+    upload_start = time.monotonic()
+    file_url = upload_to_oss(output_path, storage_key)
+    upload_elapsed = time.monotonic() - upload_start
+    if not file_url:
+        raise RuntimeError(f"OSS 上传失败: task_id={task_id}, storage_key={storage_key}")
+
+    # 校验 URL 可达性（P0-2: 私有 bucket 用预签名 + object_exists 降级）
+    verify_url = get_signed_download_url(file_url, expires_seconds=300) or file_url
+    if not _verify_url_accessible(verify_url):
+        from video_processing.oss_helpers import normalize_storage_key, oss_bucket
+
+        bucket = oss_bucket()
+        key = normalize_storage_key(file_url)
+        if not (bucket and bucket.object_exists(key)):
+            raise RuntimeError(
+                f"OSS 上传后 URL 不可访问且 object_exists 失败: file_url={file_url}, " f"storage_key={storage_key}"
+            )
+        logger.info(
+            "URL 校验失败但 object_exists 确认文件存在，视为上传成功: storage_key=%s",
+            key,
+        )
+
+    logger.info(
+        "[task_id=%s] [OSS上传] 成功: 耗时=%.1fs, file_url=%s",
+        task_id,
+        upload_elapsed,
+        file_url,
+    )
+
+    # 创建 GeneratedVideo 记录 + 查重
+    duration = probe_duration(output_path)
+    dedup_session = SessionLocal()
+    try:
+        video_count = create_video_record_and_dedup(
+            generation_task_id=task_id,
+            project_id=project_id,
+            batch_id=batch_id,
+            file_url=file_url,
+            file_size=file_size,
+            duration=duration,
+            video_path=str(output_path),
+            mode=editing_mode.value,
+            session=dedup_session,
+        )
+    finally:
+        dedup_session.close()
+
+    return file_url, duration, file_size, video_count or 1
+
+
 # ── Celery Task ──────────────────────────────────────────────────────────────
 
 
@@ -738,294 +1108,190 @@ def generate_video(self, task_id: str) -> dict:
     Returns:
         生成结果字典
     """
+    from packages.adapters.sqlalchemy_impl.generation_task_repository import (
+        SQLAlchemyGenerationTaskRepository,
+    )
     from packages.domain import EditingMode
 
     logger.info("[task_id=%s] [接收任务] 开始生成视频任务", task_id)
 
-    # 从数据库加载任务信息
-    session = SessionLocal()
+    # ── 1. 加载任务信息 ──────────────────────────────────────────────────────
+    task_info = _load_task_info(task_id)
+    if task_info is None:
+        logger.error("[task_id=%s] [接收任务] 任务不存在", task_id)
+        return {"status": "failed", "error": f"generation task {task_id} not found"}
+
+    project_id = task_info["project_id"]
+    asset_library_id = task_info["asset_library_id"]
+    voice_library_id = task_info["voice_library_id"]
+    template_id = task_info["template_id"]
+    task_asset_ids = task_info["task_asset_ids"]
+    batch_id = task_info["batch_id"]
+    user_id = task_info["user_id"]
+
+    # 加载 gen_task（用于全程进度日志；_flush_logs 使用独立 session 持久化）
+    _session = SessionLocal()
     try:
-        from packages.adapters.sqlalchemy_impl.generation_task_repository import (
-            SQLAlchemyGenerationTaskRepository,
-        )
+        _repo = SQLAlchemyGenerationTaskRepository(_session)
+        gen_task = _repo.get(task_id)
+    finally:
+        _session.close()
 
-        task_repo = SQLAlchemyGenerationTaskRepository(session)
-        gen_task = task_repo.get(task_id)
-        if gen_task is None:
-            logger.error("[task_id=%s] [接收任务] 任务不存在", task_id)
-            return {"status": "failed", "error": f"generation task {task_id} not found"}
-        project_id = gen_task.project_id
-        asset_library_id = gen_task.asset_library_id
-        voice_library_id = gen_task.voice_library_id or ""
-        template_id = getattr(gen_task, "template_id", "") or ""
-        mode = gen_task.strategy_id or "one_take"
-        task_asset_ids = list(gen_task.asset_ids or [])
-        batch_id = getattr(gen_task, "batch_id", "") or ""
-
-        # 记录接收任务日志
+    # 记录接收任务日志
+    if gen_task:
         gen_task.append_log(
             "接收任务",
-            f"模式={mode}, 模板={template_id}, 素材数={len(task_asset_ids)}",
-            mode=mode,
+            f"模式={task_info['mode']}, 模板={template_id}, 素材数={len(task_asset_ids)}",
+            mode=task_info["mode"],
             template_id=template_id,
             asset_count=len(task_asset_ids),
         )
         _flush_logs(task_id, gen_task)
-    finally:
-        session.close()
 
     # 标记任务为 running
     _update_task_status(task_id, "mark_processing")
 
     try:
-        editing_mode = EditingMode(mode)
+        editing_mode = EditingMode(mode) if (mode := task_info["mode"]) else EditingMode.ONE_TAKE
     except ValueError:
         editing_mode = EditingMode.ONE_TAKE
 
     output_name = f"generated-{task_id}.mp4"
-    storage_key = f"generated/projects/{project_id}/tasks/{task_id}/{output_name}"
 
     try:
-        # P1: template_id 存在性校验
         if template_id:
             _validate_template_exists(template_id)
 
-        # P1: asset_ids 归属校验 — 已合并到 _download_library_assets 同一 session（P3-2）
-
         with tempfile.TemporaryDirectory(prefix="xiaoxia-generation-") as temp_dir:
             temp_path = Path(temp_dir)
-            output_path = temp_path / output_name
 
-            # 1. 从素材库/项目下载视频素材
-            logger.info("[task_id=%s] [下载素材] 开始下载视频素材", task_id)
-            download_start = time.monotonic()
-            downloaded_videos = _download_library_assets(
+            # ── 2. 下载素材 ──────────────────────────────────────────────────
+            downloaded_videos, audio_path = _download_all_assets(
                 temp_path,
                 asset_library_id=asset_library_id,
                 project_id=project_id,
-                asset_ids=task_asset_ids or None,
+                task_asset_ids=task_asset_ids,
+                voice_library_id=voice_library_id,
                 task_id=task_id,
-                gen_task=gen_task,
             )
-            download_elapsed = time.monotonic() - download_start
-            logger.info(
-                "[task_id=%s] [下载素材] 完成: 成功=%d个, 耗时=%.1fs",
-                task_id,
-                len(downloaded_videos),
-                download_elapsed,
-            )
-
-            # 重新加载 gen_task 以追加日志（session 已关闭）
-            _session = SessionLocal()
-            try:
-                _repo = SQLAlchemyGenerationTaskRepository(_session)
-                gen_task = _repo.get(task_id)
-            finally:
-                _session.close()
 
             if gen_task:
                 gen_task.append_log(
                     "下载素材",
                     f"成功下载 {len(downloaded_videos)} 个视频素材",
                     count=len(downloaded_videos),
-                    duration=round(download_elapsed, 2),
                 )
                 _flush_logs(task_id, gen_task)
 
-            # 2. 下载配音（如有）
-            audio_path: str | None = None
-            if voice_library_id:
-                local_audio = temp_path / "voice.mp3"
-                if _download_voice_asset(voice_library_id, local_audio):
-                    audio_path = str(local_audio)
-                    logger.info("[task_id=%s] [下载配音] 配音下载成功", task_id)
-
-            # 3. 渲染
-            if not downloaded_videos:
-                # 素材下载为空（不应到达此处，_download_library_assets 已做校验）
-                raise RuntimeError(
-                    f"素材下载结果为空: task_id={task_id}, "
-                    f"asset_library_id={asset_library_id}, project_id={project_id}, "
-                    f"asset_ids={task_asset_ids}"
-                )
-
-            # 构建虚拟 plan + clips + asset_path_map
-            virtual_plan, virtual_clips, asset_path_map = _build_plan_and_clips_from_task(
+            # ── 3. 渲染 + 混音 ───────────────────────────────────────────────
+            output_path, render_duration = _render_video(
                 task_id=task_id,
-                downloaded_paths=downloaded_videos,
-                mode=editing_mode.value,
-            )
-
-            total_duration = sum(c.duration for c in virtual_clips)
-            logger.info(
-                "[task_id=%s] [剪辑计划] 片段数=%d, 总时长=%.1fs",
-                task_id,
-                len(virtual_clips),
-                total_duration,
+                downloaded_videos=downloaded_videos,
+                voice_path=audio_path,
+                editing_mode=editing_mode,
+                project_id=project_id,
+                template_id=template_id,
+                user_id=user_id,
+                temp_path=temp_path,
+                output_name=output_name,
             )
 
             if gen_task:
-                gen_task.append_log(
-                    "剪辑计划",
-                    f"片段数={len(virtual_clips)}, 总时长={total_duration:.1f}s",
-                    segment_count=len(virtual_clips),
-                    total_duration=round(total_duration, 2),
-                )
+                gen_task.append_log("渲染", f"渲染完成, 时长={render_duration:.1f}s")
                 _flush_logs(task_id, gen_task)
 
-            # 3. 根据 Feature Flag 选择渲染引擎
-            user_id = getattr(gen_task, "created_by_user_id", "") if gen_task else ""
-            engine = _resolve_render_engine(user_id) if user_id else ENGINE_UNIFIED
-            logger.info("[task_id=%s] [渲染] 引擎选择: %s (user_id=%s)", task_id, engine, user_id)
-
-            render_start = time.monotonic()
-            render_output_path = temp_path / f"rendered-{task_id}.mp4"
-
-            if engine == ENGINE_LEGACY:
-                # 旧引擎：filter_complex + concat（保持原帧率，无 fps 归一化）
-                render_duration, render_file_size = _render_with_legacy_engine(
-                    task_id=task_id,
-                    virtual_clips=virtual_clips,
-                    asset_path_map=asset_path_map,
-                    work_dir=temp_path,
-                    output_path=render_output_path,
-                )
-                render_elapsed = time.monotonic() - render_start
-                logger.info(
-                    "[task_id=%s] [渲染] legacy 引擎完成: 耗时=%.1fs, 时长=%.2fs",
-                    task_id,
-                    render_elapsed,
-                    render_duration,
-                )
-            else:
-                # 新引擎：UnifiedRenderService 图层架构
-                logger.info("[task_id=%s] [渲染] unified 引擎 FFmpeg 渲染开始", task_id)
-                render_service = UnifiedRenderService(
-                    plan=virtual_plan,
-                    clips=virtual_clips,
-                    asset_path_map=asset_path_map,
-                    work_dir=temp_path,
-                    output_width=OUTPUT_WIDTH,
-                    output_height=OUTPUT_HEIGHT,
-                    output_fps=int(OUTPUT_FPS),
-                )
-                render_result = render_service.render()
-                render_output_path = render_result.output_path
-                render_duration = render_result.duration
-                render_file_size = render_result.file_size
-                render_elapsed = time.monotonic() - render_start
-                logger.info(
-                    "[task_id=%s] [渲染] unified 引擎完成: 耗时=%.1fs",
-                    task_id,
-                    render_elapsed,
-                )
-
-            if gen_task:
-                gen_task.append_log(
-                    "渲染",
-                    f"引擎={engine}, 耗时={render_elapsed:.1f}s",
-                    duration=round(render_elapsed, 2),
-                    engine=engine,
-                )
-                _flush_logs(task_id, gen_task)
-
-            # 4. 如有配音，后处理混音
-            if audio_path:
-                final_path = temp_path / f"final-{task_id}.mp4"
-                try:
-                    _mux_audio_track(render_output_path, audio_path, final_path)
-                    # 混音成功，使用混音后的文件
-                    output_path = final_path
-                except Exception as mux_err:
-                    logger.warning("[task_id=%s] [混音] 音频混合失败，使用无音频版本: %s", task_id, mux_err)
-                    output_path = render_output_path
-            else:
-                output_path = render_output_path
-
-            file_size = output_path.stat().st_size
-            duration = probe_duration(output_path)
-
-            # 5. 上传到 OSS — 失败必须抛异常，不能静默忽略
-            logger.info("[task_id=%s] [OSS上传] 开始上传: size=%d", task_id, file_size)
-            upload_start = time.monotonic()
-            file_url = upload_to_oss(output_path, storage_key)
-            upload_elapsed = time.monotonic() - upload_start
-            if not file_url:
-                # OSS 未配置或上传失败
-                if gen_task:
-                    gen_task.append_log("OSS上传", "上传失败", level="ERROR")
-                    _flush_logs(task_id, gen_task)
-                raise RuntimeError(
-                    f"OSS 上传失败: task_id={task_id}, storage_key={storage_key}, " f"output_path={output_path}"
-                )
-
-            # P0-2 修复：私有 bucket 下裸 URL 永远 403，改用预签名 URL 校验
-            # 先用预签名 URL 校验，失败则降级为检查文件是否存在（object_exists）
-            verify_url = get_signed_download_url(file_url, expires_seconds=300) or file_url
-            if not _verify_url_accessible(verify_url):
-                # 预签名 URL 也访问失败时，退一步用 object_exists 确认上传成功
-                from video_processing.oss_helpers import normalize_storage_key, oss_bucket
-
-                bucket = oss_bucket()
-                key = normalize_storage_key(file_url)
-                if bucket and bucket.object_exists(key):
-                    logger.info("URL 校验失败但 object_exists 确认文件存在，视为上传成功: storage_key=%s", key)
-                    if gen_task:
-                        gen_task.append_log("OSS上传", "URL校验降级: object_exists确认存在", level="WARN")
-                else:
-                    if gen_task:
-                        gen_task.append_log("OSS上传", "上传后URL不可访问", level="ERROR", file_url=file_url)
-                        _flush_logs(task_id, gen_task)
-                    raise RuntimeError(
-                        f"OSS 上传后 URL 不可访问且 object_exists 失败: file_url={file_url}, "
-                        f"storage_key={storage_key}"
-                    )
-
-            logger.info(
-                "[task_id=%s] [OSS上传] 成功: 耗时=%.1fs, file_url=%s",
-                task_id,
-                upload_elapsed,
-                file_url,
+            # ── 4. 上传 OSS + 查重记录 ───────────────────────────────────────
+            file_url, duration, file_size, video_count = _upload_and_record(
+                task_id=task_id,
+                output_path=output_path,
+                project_id=project_id,
+                batch_id=batch_id,
+                editing_mode=editing_mode,
             )
 
             if gen_task:
                 gen_task.append_log(
                     "OSS上传",
-                    f"上传成功, 大小={file_size}, 耗时={upload_elapsed:.1f}s",
+                    f"上传成功, 大小={file_size}",
                     file_size=file_size,
-                    duration=round(upload_elapsed, 2),
                     file_url=file_url,
                 )
                 _flush_logs(task_id, gen_task)
 
-            # 6. 创建 GeneratedVideo 记录 + 查重
-            dedup_session = SessionLocal()
+            # ── 5. 标记完成 ──────────────────────────────────────────────────
+            _update_task_status(task_id, "mark_completed", result_count=video_count)
+
+            # 5.1 更新标题使用次数
             try:
-                video_count = create_video_record_and_dedup(
-                    generation_task_id=task_id,
-                    project_id=project_id,
-                    batch_id=batch_id,
-                    file_url=file_url,
-                    file_size=file_size,
-                    duration=duration,
-                    video_path=str(output_path),
-                    mode=editing_mode.value,
-                    session=dedup_session,
-                )
-            finally:
-                dedup_session.close()
+                _title_session = SessionLocal()
+                try:
+                    from packages.adapters.sqlalchemy_impl.generation_task_repository import (
+                        SQLAlchemyGenerationTaskRepository,
+                    )
+                    from packages.adapters.sqlalchemy_impl.title_library_repository import (
+                        SQLAlchemyTitleLibraryRepository,
+                    )
 
-            # 7. 标记任务为 completed
-            _update_task_status(task_id, "mark_completed", result_count=video_count or 1)
+                    _task_repo = SQLAlchemyGenerationTaskRepository(_title_session)
+                    _gen_task = _task_repo.get(task_id)
+                    if _gen_task and _gen_task.title_ids and _gen_task.created_by_user_id:
+                        _title_repo = SQLAlchemyTitleLibraryRepository(_title_session)
+                        for _tid in _gen_task.title_ids:
+                            try:
+                                _title_repo.increment_usage_count(_tid, _gen_task.created_by_user_id)
+                            except Exception:
+                                logger.warning(
+                                    "[task_id=%s] 更新标题使用次数失败: title_id=%s",
+                                    task_id,
+                                    _tid,
+                                    exc_info=True,
+                                )
+                finally:
+                    _title_session.close()
+            except Exception:
+                logger.warning("[task_id=%s] 更新标题使用次数异常（不影响主流程）", task_id, exc_info=True)
 
-            # 记录完成日志
+            # 5.2 更新素材使用次数 + 最近使用时间
+            try:
+                from worker_app.core.asset_usage import mark_asset_used_for_generation
+
+                _asset_session = SessionLocal()
+                try:
+                    from packages.adapters.sqlalchemy_impl.asset_repository import (
+                        SQLAlchemyAssetRepository,
+                    )
+                    from packages.adapters.sqlalchemy_impl.generation_task_repository import (
+                        SQLAlchemyGenerationTaskRepository,
+                    )
+
+                    _task_repo = SQLAlchemyGenerationTaskRepository(_asset_session)
+                    _asset_repo = SQLAlchemyAssetRepository(_asset_session)
+                    _gen_task = _task_repo.get(task_id)
+                    if _gen_task and _gen_task.asset_ids:
+                        for _aid in _gen_task.asset_ids:
+                            try:
+                                _asset = _asset_repo.get(_aid)
+                                if _asset:
+                                    mark_asset_used_for_generation(_asset)
+                                    _asset_repo.update(_asset)
+                            except Exception:
+                                logger.warning(
+                                    "[task_id=%s] 更新素材使用次数失败: asset_id=%s",
+                                    task_id,
+                                    _aid,
+                                    exc_info=True,
+                                )
+                finally:
+                    _asset_session.close()
+            except Exception:
+                logger.warning("[task_id=%s] 更新素材使用次数异常（不影响主流程）", task_id, exc_info=True)
             if gen_task:
                 gen_task.append_log(
                     "任务完成",
                     f"视频生成完成: 时长={duration:.2f}s, 大小={file_size}",
                     duration=round(duration, 2),
                     file_size=file_size,
-                    video_count=video_count or 1,
+                    video_count=video_count,
                 )
                 _flush_logs(task_id, gen_task)
 
@@ -1049,6 +1315,9 @@ def generate_video(self, task_id: str) -> dict:
     except Exception as error:
         logger.error("[task_id=%s] [任务失败] %s", task_id, error, exc_info=True)
 
+        # 构建结构化错误信息
+        error_info = _build_error_info(error, stage="render")
+
         # 记录失败日志
         try:
             _session = SessionLocal()
@@ -1061,6 +1330,7 @@ def generate_video(self, task_id: str) -> dict:
                         str(error),
                         level="ERROR",
                         error_type=type(error).__name__,
+                        stage="render",
                     )
                     _flush_logs(task_id, gen_task)
             finally:
@@ -1068,7 +1338,59 @@ def generate_video(self, task_id: str) -> dict:
         except Exception:
             logger.warning("[task_id=%s] 记录失败日志异常", task_id, exc_info=True)
 
-        _update_task_status(task_id, "mark_failed", error_message=str(error))
+        _update_task_status(
+            task_id,
+            "mark_failed",
+            error_message=str(error),
+            error_info=error_info,
+        )
+
+        # ── 自动重试逻辑 ──────────────────────────────────────────────────
+        try:
+            from packages.adapters.sqlalchemy_impl.generation_task_repository import (
+                SQLAlchemyGenerationTaskRepository,
+            )
+
+            _s = SessionLocal()
+            try:
+                _r = SQLAlchemyGenerationTaskRepository(_s)
+                _task = _r.get(task_id)
+                if _task and _task.auto_retry_enabled and _task.auto_retry_max > 0:
+                    current_retry = _task.retry_count or 0
+                    if current_retry < _task.auto_retry_max:
+                        logger.info(
+                            "[task_id=%s] 触发自动重试: 当前重试次数=%d, 最大重试次数=%d",
+                            task_id,
+                            current_retry,
+                            _task.auto_retry_max,
+                        )
+                        # 计算退避延迟（指数退避，基础5s，最大60s）
+                        backoff_seconds = min(5 * (2**current_retry), 60)
+                        # 原地重试
+                        _task.mark_pending_from_failed()
+                        _r.update(_task)
+                        # 延迟重新入队
+                        celery_app.send_task(
+                            "worker.generate_video",
+                            args=[task_id],
+                            countdown=backoff_seconds,
+                        )
+                        logger.info(
+                            "[task_id=%s] 自动重试已入队: 延迟=%ds, 第%d次重试",
+                            task_id,
+                            backoff_seconds,
+                            current_retry + 1,
+                        )
+            finally:
+                _s.close()
+        except Exception as retry_err:
+            logger.warning(
+                "[task_id=%s] 自动重试逻辑执行失败: %s",
+                task_id,
+                retry_err,
+                exc_info=True,
+            )
+
         return {
             "status": "failed",
             "task_id": task_id,

apps/worker/worker_app/tasks/ingest.py

@@ -1,9 +1,6 @@
 import subprocess
 from datetime import datetime, timezone
-from typing import Optional
 
-from celery import Celery
-from celery.app.task import Task
 from celery.utils.log import get_task_logger
 from worker_app.celery_app import celery_app
 from worker_app.core.asset_types import infer_mime_type_from_storage_key

apps/worker/worker_app/tasks/voice_extraction.py

@@ -1,14 +1,11 @@
 """Voice extraction tasks - extract voice tracks and background music from videos."""
 
-import json
 import logging
 import os
 import subprocess
 import tempfile
-from typing import Optional
 
 from celery import Task
-from sqlalchemy.orm import Session
 from worker_app.celery_app import celery_app
 from worker_app.db import SessionLocal
 

docs/schema-metadata-snapshot.json

@@ -858,6 +858,22 @@
           "type": "VARCHAR(20)",
           "unique": false
         },
+        {
+          "index": false,
+          "name": "transition_duration",
+          "nullable": false,
+          "primary_key": false,
+          "type": "FLOAT",
+          "unique": false
+        },
+        {
+          "index": false,
+          "name": "playback_speed",
+          "nullable": false,
+          "primary_key": false,
+          "type": "FLOAT",
+          "unique": false
+        },
         {
           "index": true,
           "name": "status",
@@ -1493,6 +1509,38 @@
           "type": "TEXT",
           "unique": false
         },
+        {
+          "index": false,
+          "name": "error_info",
+          "nullable": true,
+          "primary_key": false,
+          "type": "JSON",
+          "unique": false
+        },
+        {
+          "index": false,
+          "name": "retry_count",
+          "nullable": false,
+          "primary_key": false,
+          "type": "INTEGER",
+          "unique": false
+        },
+        {
+          "index": false,
+          "name": "auto_retry_enabled",
+          "nullable": false,
+          "primary_key": false,
+          "type": "BOOLEAN",
+          "unique": false
+        },
+        {
+          "index": false,
+          "name": "auto_retry_max",
+          "nullable": false,
+          "primary_key": false,
+          "type": "INTEGER",
+          "unique": false
+        },
         {
           "index": false,
           "name": "started_at",

packages/adapters/asr/mock_asr_service.py

@@ -0,0 +1,113 @@
+"""Mock ASR 服务 — 用于测试和开发环境。
+
+生成模拟的字幕时间轴，不依赖真实ASR服务。
+"""
+
+from __future__ import annotations
+
+import re
+from pathlib import Path
+from typing import Optional
+
+from packages.domain.subtitle import (
+    SubtitleSegment,
+    SubtitleTimeline,
+    SubtitleWord,
+)
+from packages.ports.asr_service import ASRService, ASRServiceError
+
+
+class MockASRService(ASRService):
+    """Mock ASR 服务，生成模拟字幕数据。
+
+    如果 audio_path 对应的目录下有同名 .txt 文件，
+    就读取该文件内容作为字幕文本，按时间均匀分段。
+    否则生成默认的测试字幕。
+    """
+
+    def __init__(self, mock_text: Optional[str] = None):
+        self._mock_text = mock_text
+
+    def transcribe(
+        self,
+        audio_path: Path,
+        language: Optional[str] = None,
+        with_word_timestamps: bool = True,
+    ) -> SubtitleTimeline:
+        if not audio_path.exists():
+            raise ASRServiceError(f"音频文件不存在: {audio_path}", provider="mock")
+
+        # 尝试读取同名 txt 文件作为字幕文本
+        text = self._mock_text
+        if text is None:
+            txt_path = audio_path.with_suffix(".txt")
+            if txt_path.exists():
+                text = txt_path.read_text(encoding="utf-8").strip()
+            else:
+                text = "这是一段测试字幕。它用于验证ASR自动字幕功能是否正常工作。每一句话都会被正确地分段并显示在视频底部。字幕的样式可以根据用户的喜好进行自定义调整。"
+
+        # 估算音频时长（用ffmpeg probe或者直接假设）
+        # mock模式下按字数估算，每秒4个字
+        total_duration = max(5.0, len(text) / 4.0)
+
+        segments = self._text_to_segments(text, total_duration, with_word_timestamps)
+
+        return SubtitleTimeline(
+            segments=segments,
+            language=language or "zh",
+            total_duration=total_duration,
+        )
+
+    def _text_to_segments(
+        self,
+        text: str,
+        total_duration: float,
+        with_word_timestamps: bool,
+    ) -> list[SubtitleSegment]:
+        """将文本按句切分成带时间轴的字幕片段。"""
+        # 按句末标点拆分
+        sentences = re.split(r"(?<=[。！？!?])", text)
+        sentences = [s.strip() for s in sentences if s.strip()]
+
+        if not sentences:
+            sentences = [text]
+
+        total_chars = sum(len(s) for s in sentences)
+        if total_chars == 0:
+            return []
+
+        segments = []
+        current_time = 0.0
+
+        for sentence in sentences:
+            char_count = len(sentence)
+            duration = total_duration * (char_count / total_chars)
+            end_time = current_time + duration
+
+            words: list[SubtitleWord] = []
+            if with_word_timestamps:
+                # 每个字作为一个词级单元（中文按字，英文按词）
+                word_time = current_time
+                word_duration = duration / char_count
+
+                for char in sentence:
+                    words.append(
+                        SubtitleWord(
+                            text=char,
+                            start=word_time,
+                            end=word_time + word_duration,
+                        )
+                    )
+                    word_time += word_duration
+
+            segments.append(
+                SubtitleSegment(
+                    text=sentence,
+                    start=current_time,
+                    end=end_time,
+                    words=words,
+                )
+            )
+            current_time = end_time
+
+        return segments

packages/adapters/in_memory/asset_repository.py

@@ -44,11 +44,61 @@ class InMemoryAssetRepository:
         return False
 
     def batch_delete(self, asset_ids: list[str]) -> int:
-        """批量删除素材，返回实际删除数量。"""
+        """批量删除素材（软删除，标记 status=deleted），返回实际影响数量。"""
+        from datetime import datetime, timezone
+
+        from packages.domain import AssetStatus
+
         count = 0
         for aid in asset_ids:
-            if aid in self._assets:
-                del self._assets[aid]
+            asset = self._assets.get(aid)
+            if asset and asset.status != AssetStatus.DELETED:
+                asset.status = AssetStatus.DELETED
+                asset.updated_at = datetime.now(timezone.utc)
+                count += 1
+        return count
+
+    def batch_update_metadata(self, asset_ids: list[str], metadata_patch: dict[str, object]) -> int:
+        """批量更新素材 metadata（合并 patch），返回实际影响数量。"""
+        from datetime import datetime, timezone
+
+        count = 0
+        for aid in asset_ids:
+            asset = self._assets.get(aid)
+            if asset:
+                asset.metadata = {**asset.metadata, **metadata_patch}
+                asset.updated_at = datetime.now(timezone.utc)
+                count += 1
+        return count
+
+    def batch_add_tags(self, asset_ids: list[str], tag_ids: list[str]) -> int:
+        """批量给素材添加标签（合并去重），返回实际影响数量。"""
+        from datetime import datetime, timezone
+
+        count = 0
+        for aid in asset_ids:
+            asset = self._assets.get(aid)
+            if asset:
+                changed = False
+                for tid in tag_ids:
+                    if tid not in asset.tag_ids:
+                        asset.tag_ids.append(tid)
+                        changed = True
+                if changed:
+                    asset.updated_at = datetime.now(timezone.utc)
+                    count += 1
+        return count
+
+    def batch_replace_tags(self, asset_ids: list[str], tag_ids: list[str]) -> int:
+        """批量替换素材标签（全量覆盖），返回实际影响数量。"""
+        from datetime import datetime, timezone
+
+        count = 0
+        for aid in asset_ids:
+            asset = self._assets.get(aid)
+            if asset:
+                asset.tag_ids = list(tag_ids)
+                asset.updated_at = datetime.now(timezone.utc)
                 count += 1
         return count
 

packages/adapters/sqlalchemy_impl/asset_repository.py

@@ -127,10 +127,90 @@ class SQLAlchemyAssetRepository:
         return False
 
     def batch_delete(self, asset_ids: list[str]) -> int:
-        """批量删除素材，返回实际删除数量。"""
+        """批量删除素材（软删除，标记 status=deleted），返回实际影响数量。"""
         if not asset_ids:
             return 0
-        count = self.session.query(AssetModel).filter(AssetModel.id.in_(asset_ids)).delete(synchronize_session=False)
+        from datetime import datetime, timezone
+
+        now = datetime.now(timezone.utc)
+        count = (
+            self.session.query(AssetModel)
+            .filter(AssetModel.id.in_(asset_ids), AssetModel.status != "deleted")
+            .update({AssetModel.status: "deleted", AssetModel.updated_at: now}, synchronize_session=False)
+        )
+        self.session.commit()
+        return count
+
+    def batch_update_metadata(self, asset_ids: list[str], metadata_patch: dict[str, object]) -> int:
+        """批量更新素材 metadata（合并 patch），返回实际影响数量。"""
+        if not asset_ids:
+            return 0
+        from datetime import datetime, timezone
+
+        now = datetime.now(timezone.utc)
+        # 逐条读取 + 合并 + 更新，保证 JSON 合并正确
+        models = self.session.query(AssetModel).filter(AssetModel.id.in_(asset_ids)).all()
+        count = 0
+        for model in models:
+            existing = {}
+            if model.classification_result:
+                try:
+                    existing = json.loads(model.classification_result)
+                except Exception:
+                    existing = {}
+            merged = {**existing, **metadata_patch}
+            model.classification_result = json.dumps(merged, ensure_ascii=False)
+            model.updated_at = now
+            count += 1
+        self.session.commit()
+        return count
+
+    def batch_add_tags(self, asset_ids: list[str], tag_ids: list[str]) -> int:
+        """批量给素材添加标签（合并去重），返回实际影响数量。"""
+        if not asset_ids or not tag_ids:
+            return 0
+        from datetime import datetime, timezone
+
+        now = datetime.now(timezone.utc)
+        clean_tag_ids = list(set(tag_ids))
+        count = 0
+        for aid in asset_ids:
+            # 查询现有标签
+            existing = {
+                row.tag_id
+                for row in self.session.query(AssetTagModel.tag_id).filter(AssetTagModel.asset_id == aid).all()
+            }
+            new_tags = [t for t in clean_tag_ids if t not in existing]
+            if new_tags:
+                for tid in new_tags:
+                    self.session.add(AssetTagModel(asset_id=aid, tag_id=tid))
+                # 更新 updated_at
+                self.session.query(AssetModel).filter(AssetModel.id == aid).update(
+                    {AssetModel.updated_at: now}, synchronize_session=False
+                )
+                count += 1
+        self.session.commit()
+        return count
+
+    def batch_replace_tags(self, asset_ids: list[str], tag_ids: list[str]) -> int:
+        """批量替换素材标签（全量覆盖），返回实际影响数量。"""
+        if not asset_ids:
+            return 0
+        from datetime import datetime, timezone
+
+        now = datetime.now(timezone.utc)
+        clean_tag_ids = list(set(tag_ids))
+        count = 0
+        for aid in asset_ids:
+            # 先删再加
+            self.session.query(AssetTagModel).filter(AssetTagModel.asset_id == aid).delete(synchronize_session=False)
+            for tid in clean_tag_ids:
+                self.session.add(AssetTagModel(asset_id=aid, tag_id=tid))
+            # 更新 updated_at
+            self.session.query(AssetModel).filter(AssetModel.id == aid).update(
+                {AssetModel.updated_at: now}, synchronize_session=False
+            )
+            count += 1
         self.session.commit()
         return count
 

packages/adapters/sqlalchemy_impl/edit_plan_clip_repository.py

@@ -54,6 +54,8 @@ class SQLAlchemyEditPlanClipRepository:
             start_time=clip.start_time,
             duration=clip.duration,
             transition_effect=clip.transition_effect,
+            transition_duration=clip.transition_duration,
+            playback_speed=clip.playback_speed,
             status=clip.status,
             config=clip.config,
         )
@@ -76,6 +78,8 @@ class SQLAlchemyEditPlanClipRepository:
         model.start_time = clip.start_time
         model.duration = clip.duration
         model.transition_effect = clip.transition_effect
+        model.transition_duration = clip.transition_duration
+        model.playback_speed = clip.playback_speed
         model.status = clip.status
         model.config = clip.config
         model.updated_at = clip.updated_at
@@ -120,6 +124,8 @@ class SQLAlchemyEditPlanClipRepository:
             start_time=model.start_time or 0.0,
             duration=model.duration or 0.0,
             transition_effect=model.transition_effect or "cut",
+            transition_duration=getattr(model, "transition_duration", 0.0) or 0.0,
+            playback_speed=model.playback_speed or 1.0,
             status=EditPlanClipStatus(model.status) if model.status else EditPlanClipStatus.PENDING,
             config=model.config or {},
             created_at=model.created_at,

packages/adapters/sqlalchemy_impl/generated_video_repository.py

@@ -100,6 +100,63 @@ class SQLAlchemyGeneratedVideoRepository:
         )
         return [self._to_domain(model) for model in models]
 
+    def list_paginated(
+        self,
+        *,
+        project_id: str | None = None,
+        status: str | None = None,
+        review_status: str | None = None,
+        page: int = 1,
+        page_size: int = 20,
+    ) -> tuple[list[GeneratedVideo], int]:
+        """分页查询成片列表，支持按项目、状态、复核状态筛选。"""
+        query = self.session.query(GeneratedVideoModel)
+
+        if project_id:
+            query = query.filter(GeneratedVideoModel.project_id == project_id)
+        if status:
+            query = query.filter(GeneratedVideoModel.status == status)
+        if review_status:
+            query = query.filter(GeneratedVideoModel.review_status == review_status)
+
+        total = query.count()
+
+        models = (
+            query.order_by(GeneratedVideoModel.generated_at.desc())
+            .offset((page - 1) * page_size)
+            .limit(page_size)
+            .all()
+        )
+
+        return [self._to_domain(model) for model in models], total
+
+    def update_review_status(self, video_id: str, review_status: str) -> GeneratedVideo | None:
+        """更新成片复核状态。"""
+        model = self.session.query(GeneratedVideoModel).filter(GeneratedVideoModel.id == video_id).first()
+        if model is None:
+            return None
+        model.review_status = review_status
+        self.session.add(model)
+        self.session.commit()
+        return self._to_domain(model)
+
+    def update_thumbnail(self, video_id: str, thumbnail_url: str) -> bool:
+        """更新成片封面图URL。"""
+        model = self.session.query(GeneratedVideoModel).filter(GeneratedVideoModel.id == video_id).first()
+        if model is None:
+            return False
+        model.thumbnail_url = thumbnail_url
+        self.session.add(model)
+        self.session.commit()
+        return True
+
+    def get_by_ids(self, video_ids: list[str]) -> list[GeneratedVideo]:
+        """批量获取成片记录。"""
+        if not video_ids:
+            return []
+        models = self.session.query(GeneratedVideoModel).filter(GeneratedVideoModel.id.in_(video_ids)).all()
+        return [self._to_domain(model) for model in models]
+
     @staticmethod
     def _to_domain(model: GeneratedVideoModel) -> GeneratedVideo:
         return GeneratedVideo(

packages/adapters/sqlalchemy_impl/generation_task_repository.py

@@ -21,6 +21,10 @@ def _to_domain(model: GenerationTaskModel) -> GenerationTask:
         progress=model.progress,
         result_count=int(model.result_count or 0),
         error_message=model.error_message,
+        error_info=dict(model.error_info) if model.error_info else {},
+        retry_count=model.retry_count or 0,
+        auto_retry_enabled=bool(model.auto_retry_enabled),
+        auto_retry_max=model.auto_retry_max or 0,
         started_at=model.started_at,
         completed_at=model.completed_at,
         created_by_user_id=model.created_by_user_id,
@@ -51,6 +55,10 @@ class SQLAlchemyGenerationTaskRepository:
             progress=task.progress,
             result_count=task.result_count,
             error_message=task.error_message,
+            error_info=task.error_info or None,
+            retry_count=task.retry_count or 0,
+            auto_retry_enabled=task.auto_retry_enabled,
+            auto_retry_max=task.auto_retry_max or 0,
             started_at=task.started_at,
             completed_at=task.completed_at,
             created_by_user_id=task.created_by_user_id,
@@ -127,6 +135,68 @@ class SQLAlchemyGenerationTaskRepository:
         )
         return [_to_domain(m) for m in models]
 
+    def list_by_user_filtered(
+        self,
+        user_id: str,
+        *,
+        status: str | None = None,
+        limit: int | None = None,
+        offset: int = 0,
+    ) -> list[GenerationTask]:
+        """按用户+状态筛选任务列表。"""
+        query = self.session.query(GenerationTaskModel).filter(GenerationTaskModel.created_by_user_id == user_id)
+        if status:
+            query = query.filter(GenerationTaskModel.status == status)
+        query = query.order_by(GenerationTaskModel.created_at.desc())
+        if offset:
+            query = query.offset(offset)
+        if limit:
+            query = query.limit(limit)
+        return [_to_domain(m) for m in query.all()]
+
+    def count_by_user_filtered(
+        self,
+        user_id: str,
+        *,
+        status: str | None = None,
+    ) -> int:
+        """按用户+状态筛选计数。"""
+        query = self.session.query(GenerationTaskModel).filter(GenerationTaskModel.created_by_user_id == user_id)
+        if status:
+            query = query.filter(GenerationTaskModel.status == status)
+        return query.count()
+
+    def list_by_project_filtered(
+        self,
+        project_id: str,
+        *,
+        status: str | None = None,
+        limit: int | None = None,
+        offset: int = 0,
+    ) -> list[GenerationTask]:
+        """按项目+状态筛选任务列表。"""
+        query = self.session.query(GenerationTaskModel).filter(GenerationTaskModel.project_id == project_id)
+        if status:
+            query = query.filter(GenerationTaskModel.status == status)
+        query = query.order_by(GenerationTaskModel.created_at.desc())
+        if offset:
+            query = query.offset(offset)
+        if limit:
+            query = query.limit(limit)
+        return [_to_domain(m) for m in query.all()]
+
+    def count_by_project_filtered(
+        self,
+        project_id: str,
+        *,
+        status: str | None = None,
+    ) -> int:
+        """按项目+状态筛选计数。"""
+        query = self.session.query(GenerationTaskModel).filter(GenerationTaskModel.project_id == project_id)
+        if status:
+            query = query.filter(GenerationTaskModel.status == status)
+        return query.count()
+
     def update(self, task: GenerationTask) -> GenerationTask:
         model = self.session.query(GenerationTaskModel).filter(GenerationTaskModel.id == task.id).first()
         if model is None:
@@ -143,6 +213,10 @@ class SQLAlchemyGenerationTaskRepository:
         model.progress = task.progress
         model.result_count = task.result_count
         model.error_message = task.error_message
+        model.error_info = task.error_info or None
+        model.retry_count = task.retry_count or 0
+        model.auto_retry_enabled = task.auto_retry_enabled
+        model.auto_retry_max = task.auto_retry_max or 0
         model.started_at = task.started_at
         model.completed_at = task.completed_at
         model.source_edit_plan_id = task.source_edit_plan_id or None

packages/adapters/sqlalchemy_impl/models.py

@@ -196,6 +196,8 @@ class EditPlanClipModel(Base):
     start_time = Column(Float, nullable=False, default=0.0)
     duration = Column(Float, nullable=False, default=0.0)
     transition_effect = Column(String(20), nullable=False, default="cut")
+    transition_duration = Column(Float, nullable=False, default=0.0)
+    playback_speed = Column(Float, nullable=False, default=1.0)
     status = Column(String(20), nullable=False, default="pending", index=True)
     config = Column(JSON, nullable=False, default=dict)
     created_at = Column(DateTime, nullable=False, default=lambda: datetime.now(timezone.utc))
@@ -250,6 +252,10 @@ class GenerationTaskModel(Base):
     progress = Column(Float, nullable=False, default=0.0)
     result_count = Column(Float, nullable=False, default=0)
     error_message = Column(Text, nullable=False, default="")
+    error_info = Column(JSON, nullable=True)
+    retry_count = Column(Integer, nullable=False, default=0)
+    auto_retry_enabled = Column(Boolean, nullable=False, default=False)
+    auto_retry_max = Column(Integer, nullable=False, default=0)
     started_at = Column(DateTime, nullable=True)
     completed_at = Column(DateTime, nullable=True)
     created_by_user_id = Column(String(36), nullable=False, default="", index=True)

packages/adapters/sqlalchemy_impl/template_repository.py

@@ -2,11 +2,14 @@
 
 from __future__ import annotations
 
+import uuid
 from typing import List, Optional
 
+from sqlalchemy import func
 from sqlalchemy.orm import Session
 
 from packages.adapters.sqlalchemy_impl.models import (
+    EditPlanModel,
     TemplateCategoryModel,
     TemplateModel,
     TemplateSegmentModel,
@@ -28,18 +31,26 @@ class SQLAlchemyTemplateRepository:
         *,
         skip: int = 0,
         limit: int = 50,
+        category: Optional[str] = None,
+        tag: Optional[str] = None,
+        keyword: Optional[str] = None,
+        mode: Optional[str] = None,
     ) -> List[Template]:
-        models = (
-            self.session.query(TemplateModel)
-            .filter(
-                TemplateModel.user_id == user_id,
-                TemplateModel.is_active.is_(True),
-            )
-            .order_by(TemplateModel.created_at.desc())
-            .offset(skip)
-            .limit(limit)
-            .all()
+        query = self.session.query(TemplateModel).filter(
+            TemplateModel.user_id == user_id,
+            TemplateModel.is_active.is_(True),
         )
+        if category:
+            query = query.filter(TemplateModel.category == category)
+        if mode:
+            query = query.filter(TemplateModel.mode == mode)
+        if keyword:
+            like_pattern = f"%{keyword}%"
+            query = query.filter(TemplateModel.name.like(like_pattern))
+        if tag:
+            # JSON 数组包含指定标签（MySQL JSON_CONTAINS / SQLite json_each 兼容写法用 LIKE）
+            query = query.filter(TemplateModel.tags.like(f'%"{tag}"%'))
+        models = query.order_by(TemplateModel.created_at.desc()).offset(skip).limit(limit).all()
         templates = [self._model_to_entity(m) for m in models]
         # 批量加载所有 segments，避免 N+1 查询
         if templates:
@@ -142,15 +153,77 @@ class SQLAlchemyTemplateRepository:
         self.session.commit()
         return True
 
-    def count_by_user(self, user_id: str) -> int:
-        return (
-            self.session.query(TemplateModel)
-            .filter(
-                TemplateModel.user_id == user_id,
-                TemplateModel.is_active.is_(True),
-            )
-            .count()
+    def count_by_user(
+        self,
+        user_id: str,
+        *,
+        category: Optional[str] = None,
+        tag: Optional[str] = None,
+        keyword: Optional[str] = None,
+        mode: Optional[str] = None,
+    ) -> int:
+        query = self.session.query(TemplateModel).filter(
+            TemplateModel.user_id == user_id,
+            TemplateModel.is_active.is_(True),
         )
+        if category:
+            query = query.filter(TemplateModel.category == category)
+        if mode:
+            query = query.filter(TemplateModel.mode == mode)
+        if keyword:
+            query = query.filter(TemplateModel.name.like(f"%{keyword}%"))
+        if tag:
+            query = query.filter(TemplateModel.tags.like(f'%"{tag}"%'))
+        return query.count()
+
+    def copy_template(self, template_id: str, user_id: str, new_name: str) -> Template:
+        """复制模板（含所有 segments）。"""
+        source = self.get(template_id, user_id)
+        if source is None:
+            raise ValueError(f"Template {template_id} not found")
+
+        new_id = str(uuid.uuid4())
+        new_template = Template(
+            id=new_id,
+            user_id=user_id,
+            name=new_name,
+            mode=source.mode,
+            category=source.category,
+            tags=list(source.tags),
+            title_config=dict(source.title_config),
+            subtitle_config=dict(source.subtitle_config),
+            bgm_config=dict(source.bgm_config),
+            estimated_duration=source.estimated_duration,
+            is_active=True,
+        )
+        created = self.create(new_template)
+
+        # 复制 segments
+        new_segments: List[TemplateSegment] = []
+        for seg in source.segments:
+            new_seg = TemplateSegment(
+                id=str(uuid.uuid4()),
+                template_id=new_id,
+                segment_order=seg.segment_order,
+                duration_min=seg.duration_min,
+                duration_max=seg.duration_max,
+                material_type=seg.material_type,
+            )
+            new_segments.append(new_seg)
+            model = TemplateSegmentModel(
+                id=new_seg.id,
+                template_id=new_seg.template_id,
+                segment_order=new_seg.segment_order,
+                duration_min=new_seg.duration_min,
+                duration_max=new_seg.duration_max,
+                material_type=new_seg.material_type,
+            )
+            self.session.add(model)
+        if new_segments:
+            self.session.commit()
+
+        created.segments = new_segments
+        return created
 
     # ── Segments ──
 
@@ -234,6 +307,33 @@ class SQLAlchemyTemplateRepository:
         self.session.commit()
         return True
 
+    # ── Tags ──
+
+    def list_tags(self, user_id: str) -> List[str]:
+        """获取用户所有模板的标签（去重）。"""
+        models = (
+            self.session.query(TemplateModel)
+            .filter(
+                TemplateModel.user_id == user_id,
+                TemplateModel.is_active.is_(True),
+                TemplateModel.tags.isnot(None),
+            )
+            .all()
+        )
+        tags_set: set[str] = set()
+        for m in models:
+            if m.tags:
+                for t in m.tags:
+                    if t:
+                        tags_set.add(t)
+        return sorted(tags_set)
+
+    # ── Usage Stats ──
+
+    def get_usage_count(self, template_id: str) -> int:
+        """获取模板被使用的次数（关联的剪辑计划数量）。"""
+        return self.session.query(EditPlanModel).filter(EditPlanModel.template_id == template_id).count()
+
     # ── Mapping helpers ──
 
     @staticmethod

packages/adapters/sqlalchemy_impl/title_library_repository.py

@@ -103,6 +103,25 @@ class SQLAlchemyTitleLibraryRepository:
         self.session.commit()
         return True
 
+    def increment_usage_count(self, title_id: str, user_id: str, increment: int = 1) -> bool:
+        """递增标题使用次数。返回是否成功。"""
+        from sqlalchemy import func
+
+        model = (
+            self.session.query(TitleLibraryModel)
+            .filter(
+                TitleLibraryModel.id == title_id,
+                TitleLibraryModel.user_id == user_id,
+            )
+            .first()
+        )
+        if model is None:
+            return False
+        model.usage_count = (model.usage_count or 0) + increment
+        model.updated_at = func.now()
+        self.session.commit()
+        return True
+
     def count_by_user(self, user_id: str, is_active: bool = True) -> int:
         return (
             self.session.query(TitleLibraryModel)

packages/adapters/tts/mock_tts_service.py

@@ -0,0 +1,231 @@
+"""Mock TTS 服务实现.
+
+使用 FFmpeg 合成简单音频模拟人声：
+- 不同音色用不同的基频（sine 波频率）
+- 语速通过 atempo 调整
+- 语调通过 asetrate 调整
+- 加一点 tremolo 效果让声音更自然
+
+用于开发测试，不依赖外部 TTS 服务。
+"""
+
+from __future__ import annotations
+
+import logging
+import subprocess
+import tempfile
+from pathlib import Path
+
+from packages.domain.voice_presets import get_voice, list_voices
+from packages.ports.tts_service import TtsError, TtsService
+
+logger = logging.getLogger(__name__)
+
+# Mock 时长估算：每字约 0.3 秒（中文）
+_CHARS_PER_SECOND = 3.3
+
+
+class MockTtsService(TtsService):
+    """Mock TTS 服务 — 用 FFmpeg 合成测试音频."""
+
+    def __init__(self, ffmpeg_bin: str = "ffmpeg") -> None:
+        self._ffmpeg_bin = ffmpeg_bin
+
+    @property
+    def provider_name(self) -> str:
+        return "mock"
+
+    def available_voices(self) -> list[str]:
+        return [v.voice_id for v in list_voices(provider="mock")]
+
+    def synthesize(
+        self,
+        text: str,
+        *,
+        voice_id: str = "",
+        speed: float = 1.0,
+        pitch: float = 0.0,
+        output_path: Path | None = None,
+        sample_rate: int = 22050,
+        format: str = "wav",
+    ) -> Path:
+        """合成 Mock 音频.
+
+        用 FFmpeg sine 波合成带轻微调制的音频，模拟人声。
+        时长根据文本长度估算。
+        """
+        if not text.strip():
+            raise TtsError("文本不能为空")
+
+        # 语速边界
+        if speed <= 0:
+            speed = 1.0
+        speed = max(0.5, min(2.0, speed))
+
+        # 语调边界
+        pitch = max(-12, min(12, pitch))
+
+        # 解析音色
+        voice = get_voice(voice_id) if voice_id else get_voice("female_warm")
+        if voice is None:
+            voice = get_voice("female_warm")
+
+        # 计算基频（从 provider_voice_id 里提取，或者按音色默认）
+        base_freq = self._extract_freq(voice.provider_voice_id, voice.gender.value)
+
+        # 计算时长（按文本长度）
+        duration = self.estimate_duration(text, speed=speed)
+        duration = max(0.5, duration)  # 最短 0.5 秒
+
+        # 输出路径
+        if output_path is None:
+            suffix = f".{format}"
+            tmp = tempfile.NamedTemporaryFile(suffix=suffix, delete=False)
+            tmp.close()
+            output_path = Path(tmp.name)
+
+        output_path.parent.mkdir(parents=True, exist_ok=True)
+
+        try:
+            self._synthesize_with_ffmpeg(
+                output_path=output_path,
+                base_freq=base_freq,
+                duration=duration,
+                speed=speed,
+                pitch=pitch,
+                sample_rate=sample_rate,
+                format=format,
+            )
+        except Exception as e:
+            logger.error("Mock TTS 合成失败: %s", e)
+            raise TtsError(f"Mock TTS 合成失败: {e}") from e
+
+        return output_path
+
+    def estimate_duration(self, text: str, *, speed: float = 1.0) -> float:
+        """估算音频时长.
+
+        按中文字符数估算：每字约 0.3 秒。
+        """
+        if not text:
+            return 0.0
+        # 去除空白后的字符数
+        char_count = len([c for c in text if not c.isspace()])
+        if char_count == 0:
+            return 0.0
+        base_duration = char_count / _CHARS_PER_SECOND
+        return base_duration / max(0.1, speed)
+
+    def _extract_freq(self, provider_voice_id: str, gender: str) -> float:
+        """从 provider_voice_id 提取基频，或按性别给默认值."""
+        if provider_voice_id.startswith("sine_"):
+            try:
+                return float(provider_voice_id.split("_")[1])
+            except (IndexError, ValueError):
+                pass
+
+        # 按性别给默认基频
+        if gender == "male":
+            return 120.0
+        elif gender == "child":
+            return 350.0
+        else:  # female
+            return 220.0
+
+    def _synthesize_with_ffmpeg(
+        self,
+        *,
+        output_path: Path,
+        base_freq: float,
+        duration: float,
+        speed: float,
+        pitch: float,
+        sample_rate: int,
+        format: str,
+    ) -> None:
+        """使用 FFmpeg 合成音频.
+
+        效果链：
+        1. sine 波生成基频
+        2. tremolo 增加轻微颤音
+        3. aeval 模拟简单的音色变化（让声音不那么单调）
+        4. atempo 调整语速
+        5. asetrate 调整语调
+        6. volume 调整音量
+        """
+        # 语调频率偏移因子（每半音 = 2^(1/12) ≈ 1.05946）
+        pitch_factor = 2 ** (pitch / 12)
+
+        # 颤音参数
+        tremolo_freq = 5.0  # 5Hz 颤音
+        tremolo_depth = 0.3  # 30% 深度
+
+        # 构建滤镜链
+        filters: list[str] = []
+
+        # 生成基频 + 泛音（让声音更丰富）
+        # 用多个 sine 波叠加模拟更自然的音色
+        filter_parts = []
+
+        # 主音 + 轻微频率调制
+        filter_parts.append(f"sine=frequency={base_freq}:duration={duration}:sample_rate={sample_rate}")
+
+        # 颤音效果
+        filter_parts.append(f"tremolo=f={tremolo_freq}:d={tremolo_depth}")
+
+        # 语速调整（同时调整时长）
+        if abs(speed - 1.0) > 0.01:
+            filter_parts.append(f"atempo={speed:.3f}")
+
+        # 语调调整（通过采样率变化实现，同时补偿时长）
+        if abs(pitch) > 0.01:
+            new_rate = int(sample_rate * pitch_factor)
+            filter_parts.append(f"asetrate={new_rate}")
+            filter_parts.append(f"aresample={sample_rate}")
+
+        # 音量包络：淡入淡出
+        fade_in = min(0.05, duration * 0.1)
+        fade_out = min(0.1, duration * 0.2)
+        filter_parts.append(f"afade=t=in:d={fade_in}")
+        filter_parts.append(f"afade=t=out:st={max(0, duration - fade_out)}:d={fade_out}")
+
+        # 音量调整到合适大小
+        filter_parts.append("volume=0.3")
+
+        filter_complex = ",".join(filter_parts)
+
+        # 编码参数
+        if format == "mp3":
+            codec_args = ["-acodec", "libmp3lame", "-b:a", "128k"]
+        else:
+            codec_args = ["-acodec", "pcm_s16le"]
+
+        command = [
+            self._ffmpeg_bin,
+            "-y",
+            "-f",
+            "lavfi",
+            "-i",
+            filter_complex,
+            *codec_args,
+            "-ar",
+            str(sample_rate),
+            "-ac",
+            "1",
+            str(output_path),
+        ]
+
+        logger.debug("Mock TTS FFmpeg 命令: %s", " ".join(command))
+
+        result = subprocess.run(
+            command,
+            capture_output=True,
+            text=True,
+            timeout=max(30, duration * 2 + 10),
+        )
+
+        if result.returncode != 0:
+            raise TtsError(f"FFmpeg 合成失败: {result.stderr[-500:]}")
+
+        if not output_path.exists() or output_path.stat().st_size == 0:
+            raise TtsError("输出文件为空或不存在")

packages/application/__init__.py

@@ -21,13 +21,19 @@ from .duplication import (
 from .generated_videos import (
     GetGeneratedVideoDownloadUrlUseCase,
     GetGeneratedVideoUseCase,
+    GetVideosByIdsUseCase,
     ListGeneratedVideosByTaskUseCase,
+    ListGeneratedVideosPaginatedUseCase,
     ListGeneratedVideosUseCase,
+    UpdateVideoReviewStatusUseCase,
 )
 from .generation_tasks import (
     CreateGenerationTaskCommand,
     CreateGenerationTaskUseCase,
     GetGenerationTaskUseCase,
+    ListGenerationTasksResult,
+    ListUserTasksFilteredUseCase,
+    RetryGenerationTaskUseCase,
 )
 from .ingest_jobs import SubmitIngestJobCommand, SubmitIngestJobUseCase
 from .jobs import (
@@ -65,6 +71,9 @@ __all__ = [
     "CreateGenerationTaskCommand",
     "CreateGenerationTaskUseCase",
     "GetGenerationTaskUseCase",
+    "ListGenerationTasksResult",
+    "ListUserTasksFilteredUseCase",
+    "RetryGenerationTaskUseCase",
     "CreateJobCommand",
     "CreateJobUseCase",
     "CreateProjectCommand",
@@ -76,6 +85,7 @@ __all__ = [
     "GetDuplicationDetailUseCase",
     "GetGeneratedVideoDownloadUrlUseCase",
     "GetGeneratedVideoUseCase",
+    "GetVideosByIdsUseCase",
     "GetJobStatisticsUseCase",
     "GetJobUseCase",
     "GetProjectUseCase",
@@ -83,6 +93,7 @@ __all__ = [
     "ListAssetsUseCase",
     "ListDuplicationRecordsUseCase",
     "ListGeneratedVideosByTaskUseCase",
+    "ListGeneratedVideosPaginatedUseCase",
     "ListGeneratedVideosUseCase",
     "ListJobsUseCase",
     "ListProjectsUseCase",
@@ -95,6 +106,7 @@ __all__ = [
     "SubmitJobUseCase",
     "UpdateJobProgressCommand",
     "UpdateJobProgressUseCase",
+    "UpdateVideoReviewStatusUseCase",
     "UploadForDuplicationCommand",
     "UploadForDuplicationUseCase",
 ]